diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/README.md b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/README.md
index 01eb6587..1ba6c064 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/README.md
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/README.md
@@ -1,3 +1,3 @@
-| Model   | Scenario   |   Accuracy |   Throughput | Latency (in ms)   |
-|---------|------------|------------|--------------|-------------------|
-| gptj-99 | offline    |        264 |       48.322 | -                 |
\ No newline at end of file
+| Model               | Scenario   | Accuracy   |   Throughput | Latency (in ms)   |
+|---------------------|------------|------------|--------------|-------------------|
+| stable-diffusion-xl | offline    | ()         |        0.359 | -                 |
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/README.md b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/README.md
index bfb18084..073b8b17 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/README.md
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/README.md
@@ -101,4 +101,4 @@ Model Precision: fp32
 ### Accuracy Results 
 
 ### Performance Results 
-`Samples per second`: `0.352477`
+`Samples per second`: `0.358711`
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy_console.out b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy_console.out
index 35d8e240..601df8a1 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy_console.out
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy_console.out
@@ -1,71 +1,71 @@
-INFO:main:Namespace(dataset='coco-1024', dataset_path='/home/cmuser/CM/repos/local/cache/8aebdc96daed41fc', profile='stable-diffusion-xl-pytorch', scenario='Offline', max_batchsize=1, threads=1, accuracy=True, find_peak_performance=False, backend='pytorch', model_name='stable-diffusion-xl', output='/cm-mount/home/arjun/gh_action_results/test_results/gh_action-reference-gpu-pytorch-v2.5.1-cu124/stable-diffusion-xl/offline/accuracy', qps=None, model_path='/home/cmuser/CM/repos/local/cache/762e6805370c44eb/stable_diffusion_fp16', dtype='fp16', device='cuda', latent_framework='torch', user_conf='/home/cmuser/CM/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/30a1db9b0dd549fbbe8213d0533b3e1b.conf', audit_conf='audit.config', ids_path='tools/sample_ids.txt', time=None, count=1, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8)
+INFO:main:Namespace(dataset='coco-1024', dataset_path='/home/cmuser/CM/repos/local/cache/8aebdc96daed41fc', profile='stable-diffusion-xl-pytorch', scenario='Offline', max_batchsize=1, threads=1, accuracy=True, find_peak_performance=False, backend='pytorch', model_name='stable-diffusion-xl', output='/cm-mount/home/arjun/gh_action_results/test_results/gh_action-reference-gpu-pytorch-v2.5.1-cu124/stable-diffusion-xl/offline/accuracy', qps=None, model_path='/home/cmuser/CM/repos/local/cache/762e6805370c44eb/stable_diffusion_fp16', dtype='fp16', device='cuda', latent_framework='torch', user_conf='/home/cmuser/CM/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/3894d3bbecd24e81a15b1b92f7ddceaf.conf', audit_conf='audit.config', ids_path='tools/sample_ids.txt', time=None, count=1, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8)
 Keyword arguments {'safety_checker': None} are not expected by StableDiffusionXLPipeline and will be ignored.
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 /home/cmuser/CM/repos/local/cache/fab5ee51614a4f8b/inference/text_to_image/coco.py:59: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
   torch.load(f"{data_path}/latents/latents.pt")
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 INFO:root:Loaded ViT-B-32 model config.
 /home/cmuser/venv/cm/lib/python3.10/site-packages/open_clip/factory.py:372: UserWarning: These pretrained weights were trained with QuickGELU activation but the model config does not have that enabled. Consider using a model config with a "-quickgelu" suffix or enable with a flag.
   warnings.warn(
 INFO:root:Loading pretrained ViT-B-32 weights (openai).
 INFO:coco:Accumulating results
 Downloading: "https://github.com/mseitzer/pytorch-fid/releases/download/fid_weights/pt_inception-2015-12-05-6726825d.pth" to /home/cmuser/.cache/torch/hub/checkpoints/pt_inception-2015-12-05-6726825d.pth
-
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 image id 716 is missing in the results. Hence not saved.
 image id 2387 is missing in the results. Hence not saved.
 image id 3694 is missing in the results. Hence not saved.
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.mmd b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.mmd
index d8a8f32b..fab4a511 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.mmd
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.mmd
@@ -31,20 +31,20 @@ graph TD
     get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,generic-python-lib,_pip
     get-cuda-devices,7a3ede4d3558427a_(_with-pycuda_) --> get,generic-python-lib,_package.numpy
     app-mlperf-inference,d775cac873ee4231_(_reference,_sdxl,_pytorch,_cuda,_test,_r5.0-dev_default,_float16,_offline_) --> get,cuda-devices,_with-pycuda
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> detect,os
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> detect,os
     detect-cpu,586c8a43320142f7 --> detect,os
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> detect,cpu
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,sys-utils-cm
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,python
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,cuda,_cudnn
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> detect,cpu
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,sys-utils-cm
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,python
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,cuda,_cudnn
     get-generic-python-lib,94b62a682bc44791_(_torch_cuda_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_torch_cuda
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_torch_cuda
     get-generic-python-lib,94b62a682bc44791_(_torchvision_cuda_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_torchvision_cuda
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_torchvision_cuda
     download-and-extract,c67e81a4ce2649f5_(_rclone,_url.mlc-inference:mlcommons-inference-wg-public/stable_diffusion_fp16_) --> download,file,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/stable_diffusion_fp16
     get-ml-model-stable-diffusion,22c6516b2d4d4c23_(_pytorch,_fp16_) --> download-and-extract,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/stable_diffusion_fp16
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,ml-model,stable-diffusion,text-to-image,sdxl,raw,_pytorch,_fp16
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,dataset,coco2014,_validation
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,ml-model,stable-diffusion,text-to-image,sdxl,raw,_pytorch,_fp16
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,dataset,coco2014,_validation
     generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os
     detect-cpu,586c8a43320142f7 --> detect,os
     generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu
@@ -55,36 +55,36 @@ graph TD
     generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src
     get-mlperf-inference-sut-configs,c2fbf72009e2445b --> get,cache,dir,_name.mlperf-inference-sut-configs
     generate-mlperf-inference-user-conf,3af4475745964b93 --> get,sut,configs
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> generate,user-conf,mlperf,inference
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,loadgen
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> generate,user-conf,mlperf,inference
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,loadgen
     get-mlperf-inference-src,4b57186581024797 --> detect,os
     get-mlperf-inference-src,4b57186581024797 --> get,python3
     get-mlperf-inference-src,4b57186581024797 --> get,git,repo,_branch.master,_repo.https://github.com/mlcommons/inference
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,mlcommons,inference,src
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,mlcommons,inference,src
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,mlcommons,inference,src
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,mlcommons,inference,src
     get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.psutil
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.psutil
     get-generic-python-lib,94b62a682bc44791_(_package.diffusers_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.diffusers
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.diffusers
     get-generic-python-lib,94b62a682bc44791_(_package.transformers_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.transformers
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.transformers
     get-generic-python-lib,94b62a682bc44791_(_package.torchvision_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.torchvision
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.torchvision
     get-generic-python-lib,94b62a682bc44791_(_package.accelerate_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.accelerate
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.accelerate
     get-generic-python-lib,94b62a682bc44791_(_package.torchmetrics_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.torchmetrics
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.torchmetrics
     get-generic-python-lib,94b62a682bc44791_(_package.torch-fidelity_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.torch-fidelity
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.torch-fidelity
     get-generic-python-lib,94b62a682bc44791_(_package.open_clip_torch_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.open_clip_torch
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.open_clip_torch
     get-generic-python-lib,94b62a682bc44791_(_package.opencv-python_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.opencv-python
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.opencv-python
     get-generic-python-lib,94b62a682bc44791_(_package.scipy_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.scipy
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.scipy
     get-generic-python-lib,94b62a682bc44791_(_package.pandas_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> get,generic-python-lib,_package.pandas
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> get,generic-python-lib,_package.pandas
     detect-cpu,586c8a43320142f7 --> detect,os
     benchmark-program,19f369ef47084895 --> detect,cpu
     benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_sdxl,_cuda,_offline,_pytorch,_float16_) --> benchmark-mlperf
\ No newline at end of file
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_offline,_pytorch,_sdxl,_cuda,_float16_) --> benchmark-mlperf
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.png b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.png
index 3522fa24..be0e80d6 100644
Binary files a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.png and b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-deps.png differ
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-version-info.json b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-version-info.json
index 40546ed8..a0fc07e9 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-version-info.json
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/cm-version-info.json
@@ -327,7 +327,7 @@
         "script_tags": "detect-os,detect,os,info",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -347,7 +347,7 @@
         "script_tags": "detect,cpu,detect-cpu,info",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -357,7 +357,7 @@
         "script_tags": "get,sys-utils-cm",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -367,7 +367,7 @@
         "script_tags": "get,python,python3,get-python,get-python3",
         "script_variations": "",
         "version": "3.10.12",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -377,7 +377,7 @@
         "script_tags": "get,cuda,cuda-compiler,cuda-lib,toolkit,lib,nvcc,get-nvcc,get-cuda,46d133d9ef92422d",
         "script_variations": "cudnn",
         "version": "12.4",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -397,7 +397,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "torch_cuda",
         "version": "2.5.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -417,7 +417,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "torchvision_cuda",
         "version": "0.20.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -447,7 +447,7 @@
         "script_tags": "get,raw,ml-model,stable-diffusion,sdxl,text-to-image",
         "script_variations": "pytorch,fp16",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -457,7 +457,7 @@
         "script_tags": "get,dataset,coco2014,object-detection,original",
         "script_variations": "validation",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -567,7 +567,7 @@
         "script_tags": "generate,mlperf,inference,user-conf,inference-user-conf",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -577,7 +577,7 @@
         "script_tags": "get,loadgen,inference,inference-loadgen,mlperf,mlcommons",
         "script_variations": "",
         "version": "master",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -617,7 +617,7 @@
         "script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons",
         "script_variations": "",
         "version": "r5.0-git-b9f22d6c37fa9024616538516e1d3bb59dd7c019",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -627,7 +627,7 @@
         "script_tags": "get,src,source,inference,inference-src,inference-source,mlperf,mlcommons",
         "script_variations": "",
         "version": "master-git-b9f22d6c37fa9024616538516e1d3bb59dd7c019",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -647,7 +647,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.psutil",
         "version": "6.1.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -667,7 +667,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.diffusers",
         "version": "0.32.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -687,7 +687,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.transformers",
         "version": "4.47.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -707,7 +707,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.torchvision",
         "version": "0.20.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -727,7 +727,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.accelerate",
         "version": "1.2.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -747,7 +747,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.torchmetrics",
         "version": "1.6.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -767,7 +767,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.torch-fidelity",
         "version": "0.3.0",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -787,7 +787,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.open_clip_torch",
         "version": "2.29.0",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -807,7 +807,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.opencv-python",
         "version": "4.10.0.84",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -827,7 +827,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.scipy",
         "version": "1.15.0",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -847,7 +847,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.pandas",
         "version": "2.2.3",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     },
     {
@@ -887,7 +887,7 @@
         "script_tags": "mlperf,benchmark-mlperf",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( sdxl,_cuda,_offline,_pytorch,_float16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( offline,_pytorch,_sdxl,_cuda,_float16 )"
       }
     }
   ]
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/os_info.json b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/os_info.json
index f83974ee..efaa23a6 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/os_info.json
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/os_info.json
@@ -26,5 +26,5 @@
   ],
   "CM_HOST_PLATFORM_FLAVOR": "x86_64",
   "CM_HOST_PYTHON_BITS": "64",
-  "CM_HOST_SYSTEM_NAME": "4d3a89a1917f"
+  "CM_HOST_SYSTEM_NAME": "733d3b7f3093"
 }
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance_console.out b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance_console.out
index 0d71d560..89ddbc12 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance_console.out
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance_console.out
@@ -1,12 +1,12 @@
-INFO:main:Namespace(dataset='coco-1024', dataset_path='/home/cmuser/CM/repos/local/cache/8aebdc96daed41fc', profile='stable-diffusion-xl-pytorch', scenario='Offline', max_batchsize=1, threads=1, accuracy=False, find_peak_performance=False, backend='pytorch', model_name='stable-diffusion-xl', output='/cm-mount/home/arjun/gh_action_results/test_results/gh_action-reference-gpu-pytorch-v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1', qps=None, model_path='/home/cmuser/CM/repos/local/cache/762e6805370c44eb/stable_diffusion_fp16', dtype='fp16', device='cuda', latent_framework='torch', user_conf='/home/cmuser/CM/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/749d7b8aeed146dcb3292e1617cffe3f.conf', audit_conf='audit.config', ids_path='tools/sample_ids.txt', time=None, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8)
+INFO:main:Namespace(dataset='coco-1024', dataset_path='/home/cmuser/CM/repos/local/cache/8aebdc96daed41fc', profile='stable-diffusion-xl-pytorch', scenario='Offline', max_batchsize=1, threads=1, accuracy=False, find_peak_performance=False, backend='pytorch', model_name='stable-diffusion-xl', output='/cm-mount/home/arjun/gh_action_results/test_results/gh_action-reference-gpu-pytorch-v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1', qps=None, model_path='/home/cmuser/CM/repos/local/cache/762e6805370c44eb/stable_diffusion_fp16', dtype='fp16', device='cuda', latent_framework='torch', user_conf='/home/cmuser/CM/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/dbaccd1aceb14d8fa947aaa2c0dbdb1a.conf', audit_conf='audit.config', ids_path='tools/sample_ids.txt', time=None, count=None, debug=False, performance_sample_count=5000, max_latency=None, samples_per_query=8)
 Keyword arguments {'safety_checker': None} are not expected by StableDiffusionXLPipeline and will be ignored.
-
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+
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 /home/cmuser/CM/repos/local/cache/fab5ee51614a4f8b/inference/text_to_image/coco.py:59: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
   torch.load(f"{data_path}/latents/latents.pt")
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diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/system_info.txt b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/system_info.txt
index c7b0ba2f..1602e5c0 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux 4d3a89a1917f 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 733d3b7f3093 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 01:06:29 up 39 days, 11:24,  0 users,  load average: 1.12, 1.45, 1.63
+ 17:32:56 up 42 days,  3:51,  0 users,  load average: 0.78, 0.46, 2.21
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.946
+cpu MHz		: 801.044
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -97,7 +97,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.370
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1100.000
+cpu MHz		: 897.692
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2241.414
+cpu MHz		: 2083.132
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -489,7 +489,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3400.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -517,7 +517,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3073.308
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -601,7 +601,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.991
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -629,7 +629,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.172
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 2990.365
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 4300.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -937,7 +937,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 798.122
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1217,7 +1217,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4300.000
+cpu MHz		: 2345.819
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1245,7 +1245,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.466
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1329,7 +1329,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 801.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,51 +1424,51 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 23672 MB
+node 0 free: 125520 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        24241092 kB
-MemAvailable:   191470000 kB
-Buffers:          352980 kB
-Cached:         157883932 kB
-SwapCached:        43652 kB
-Active:          9606728 kB
-Inactive:       149639356 kB
-Active(anon):     812136 kB
-Inactive(anon):   236552 kB
-Active(file):    8794592 kB
-Inactive(file): 149402804 kB
+MemFree:        128532888 kB
+MemAvailable:   190744788 kB
+Buffers:          122916 kB
+Cached:         52411528 kB
+SwapCached:        91624 kB
+Active:         22172056 kB
+Inactive:       31641524 kB
+Active(anon):     760740 kB
+Inactive(anon):   554976 kB
+Active(file):   21411316 kB
+Inactive(file): 31086548 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7582992 kB
+SwapFree:        7266188 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             40632 kB
+Dirty:             41072 kB
 Writeback:             0 kB
-AnonPages:       1001488 kB
-Mapped:           340984 kB
-Shmem:             39476 kB
-KReclaimable:   10803808 kB
-Slab:           12606544 kB
-SReclaimable:   10803808 kB
-SUnreclaim:      1802736 kB
-KernelStack:       49216 kB
-PageTables:        49420 kB
+AnonPages:       1242920 kB
+Mapped:           287232 kB
+Shmem:             36580 kB
+KReclaimable:   11494524 kB
+Slab:           13690876 kB
+SReclaimable:   11494524 kB
+SUnreclaim:      2196352 kB
+KernelStack:       67040 kB
+PageTables:        62564 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:   12298760 kB
+Committed_AS:   16429508 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      193904 kB
+VmallocUsed:      214988 kB
 VmallocChunk:          0 kB
-Percpu:           162432 kB
+Percpu:           199104 kB
 HardwareCorrupted:     0 kB
 AnonHugePages:         0 kB
 ShmemHugePages:        0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    72998500 kB
-DirectMap2M:    124661760 kB
+DirectMap4k:    84911716 kB
+DirectMap2M:    112748544 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1699,10 +1699,10 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 16:
+analyzing CPU 42:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 16
-  CPUs which need to have their frequency coordinated by software: 16
+  CPUs which run at the same hardware frequency: 42
+  CPUs which need to have their frequency coordinated by software: 42
   maximum transition latency:  Cannot determine or is not supported.
   hardware limits: 800 MHz - 4.60 GHz
   available cpufreq governors: performance powersave
@@ -1710,7 +1710,7 @@ analyzing CPU 16:
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 1.20 GHz (asserted by call to kernel)
+  current CPU frequency: 1.50 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1761,16 +1761,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 4029480	3274546	45	0	859301	0
+fs.dentry-state = 3848787	3153320	45	0	214198	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 11264	0	9223372036854775807
-fs.inode-nr = 4998081	1858050
-fs.inode-state = 4998081	1858050	0	0	0	0	0
+fs.file-nr = 14816	0	9223372036854775807
+fs.inode-nr = 6591050	2939678
+fs.inode-state = 6591050	2939678	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1798,7 +1798,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 3866
+fs.quota.syncs = 4602
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1825,7 +1825,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = 4d3a89a1917f
+kernel.hostname = 733d3b7f3093
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1857,7 +1857,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 10123
+kernel.ns_last_pid = 10126
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1888,13 +1888,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 153
+kernel.pty.nr = 247
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 40d60c60-510f-4aaa-b732-b1c0e3a97bb3
+kernel.random.uuid = 9d86c8da-9661-488c-81a3-3875c4f8b538
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/system_info.txt b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/system_info.txt
index c7b0ba2f..1602e5c0 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux 4d3a89a1917f 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 733d3b7f3093 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 01:06:29 up 39 days, 11:24,  0 users,  load average: 1.12, 1.45, 1.63
+ 17:32:56 up 42 days,  3:51,  0 users,  load average: 0.78, 0.46, 2.21
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.946
+cpu MHz		: 801.044
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -97,7 +97,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.370
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1100.000
+cpu MHz		: 897.692
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2241.414
+cpu MHz		: 2083.132
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -489,7 +489,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3400.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -517,7 +517,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3073.308
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -601,7 +601,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.991
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -629,7 +629,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.172
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 2990.365
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 4300.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -937,7 +937,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 798.122
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1217,7 +1217,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4300.000
+cpu MHz		: 2345.819
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1245,7 +1245,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.466
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1329,7 +1329,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 801.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,51 +1424,51 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 23672 MB
+node 0 free: 125520 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        24241092 kB
-MemAvailable:   191470000 kB
-Buffers:          352980 kB
-Cached:         157883932 kB
-SwapCached:        43652 kB
-Active:          9606728 kB
-Inactive:       149639356 kB
-Active(anon):     812136 kB
-Inactive(anon):   236552 kB
-Active(file):    8794592 kB
-Inactive(file): 149402804 kB
+MemFree:        128532888 kB
+MemAvailable:   190744788 kB
+Buffers:          122916 kB
+Cached:         52411528 kB
+SwapCached:        91624 kB
+Active:         22172056 kB
+Inactive:       31641524 kB
+Active(anon):     760740 kB
+Inactive(anon):   554976 kB
+Active(file):   21411316 kB
+Inactive(file): 31086548 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7582992 kB
+SwapFree:        7266188 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             40632 kB
+Dirty:             41072 kB
 Writeback:             0 kB
-AnonPages:       1001488 kB
-Mapped:           340984 kB
-Shmem:             39476 kB
-KReclaimable:   10803808 kB
-Slab:           12606544 kB
-SReclaimable:   10803808 kB
-SUnreclaim:      1802736 kB
-KernelStack:       49216 kB
-PageTables:        49420 kB
+AnonPages:       1242920 kB
+Mapped:           287232 kB
+Shmem:             36580 kB
+KReclaimable:   11494524 kB
+Slab:           13690876 kB
+SReclaimable:   11494524 kB
+SUnreclaim:      2196352 kB
+KernelStack:       67040 kB
+PageTables:        62564 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:   12298760 kB
+Committed_AS:   16429508 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      193904 kB
+VmallocUsed:      214988 kB
 VmallocChunk:          0 kB
-Percpu:           162432 kB
+Percpu:           199104 kB
 HardwareCorrupted:     0 kB
 AnonHugePages:         0 kB
 ShmemHugePages:        0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    72998500 kB
-DirectMap2M:    124661760 kB
+DirectMap4k:    84911716 kB
+DirectMap2M:    112748544 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1699,10 +1699,10 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 16:
+analyzing CPU 42:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 16
-  CPUs which need to have their frequency coordinated by software: 16
+  CPUs which run at the same hardware frequency: 42
+  CPUs which need to have their frequency coordinated by software: 42
   maximum transition latency:  Cannot determine or is not supported.
   hardware limits: 800 MHz - 4.60 GHz
   available cpufreq governors: performance powersave
@@ -1710,7 +1710,7 @@ analyzing CPU 16:
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 1.20 GHz (asserted by call to kernel)
+  current CPU frequency: 1.50 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1761,16 +1761,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 4029480	3274546	45	0	859301	0
+fs.dentry-state = 3848787	3153320	45	0	214198	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 11264	0	9223372036854775807
-fs.inode-nr = 4998081	1858050
-fs.inode-state = 4998081	1858050	0	0	0	0	0
+fs.file-nr = 14816	0	9223372036854775807
+fs.inode-nr = 6591050	2939678
+fs.inode-state = 6591050	2939678	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1798,7 +1798,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 3866
+fs.quota.syncs = 4602
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1825,7 +1825,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = 4d3a89a1917f
+kernel.hostname = 733d3b7f3093
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1857,7 +1857,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 10123
+kernel.ns_last_pid = 10126
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1888,13 +1888,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 153
+kernel.pty.nr = 247
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 40d60c60-510f-4aaa-b732-b1c0e3a97bb3
+kernel.random.uuid = 9d86c8da-9661-488c-81a3-3875c4f8b538
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
diff --git a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/system_info.txt b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/system_info.txt
index 31a5008d..1602e5c0 100644
--- a/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-gpu-pytorch_v2.5.1-cu124/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux 63098331a00e 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 733d3b7f3093 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 03:24:33 up 41 days, 13:42,  0 users,  load average: 1.79, 9.65, 15.38
+ 17:32:56 up 42 days,  3:51,  0 users,  load average: 0.78, 0.46, 2.21
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.450
+cpu MHz		: 801.044
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -97,7 +97,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2600.000
+cpu MHz		: 800.370
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -153,7 +153,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4000.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -209,7 +209,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 900.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -321,7 +321,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 832.647
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -349,7 +349,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4000.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 987.302
+cpu MHz		: 897.692
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1099.179
+cpu MHz		: 2083.132
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -489,7 +489,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1300.013
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -545,7 +545,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.003
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -573,7 +573,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 900.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 2990.365
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 4300.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -965,7 +965,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1500.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -993,7 +993,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3400.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1217,7 +1217,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 2345.819
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1245,7 +1245,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.466
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1329,7 +1329,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 798.017
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,51 +1424,51 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 108951 MB
+node 0 free: 125520 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        111566412 kB
-MemAvailable:   190971772 kB
-Buffers:          111248 kB
-Cached:         70632196 kB
-SwapCached:       219892 kB
-Active:         34706884 kB
-Inactive:       37232328 kB
-Active(anon):     941808 kB
-Inactive(anon):   290332 kB
-Active(file):   33765076 kB
-Inactive(file): 36941996 kB
+MemFree:        128532888 kB
+MemAvailable:   190744788 kB
+Buffers:          122916 kB
+Cached:         52411528 kB
+SwapCached:        91624 kB
+Active:         22172056 kB
+Inactive:       31641524 kB
+Active(anon):     760740 kB
+Inactive(anon):   554976 kB
+Active(file):   21411316 kB
+Inactive(file): 31086548 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7182248 kB
+SwapFree:        7266188 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             40856 kB
+Dirty:             41072 kB
 Writeback:             0 kB
-AnonPages:       1143068 kB
-Mapped:           294624 kB
-Shmem:             36356 kB
-KReclaimable:   10470584 kB
-Slab:           12498816 kB
-SReclaimable:   10470584 kB
-SUnreclaim:      2028232 kB
-KernelStack:       62560 kB
-PageTables:        58500 kB
+AnonPages:       1242920 kB
+Mapped:           287232 kB
+Shmem:             36580 kB
+KReclaimable:   11494524 kB
+Slab:           13690876 kB
+SReclaimable:   11494524 kB
+SUnreclaim:      2196352 kB
+KernelStack:       67040 kB
+PageTables:        62564 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:   15331776 kB
+Committed_AS:   16429508 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      209552 kB
+VmallocUsed:      214988 kB
 VmallocChunk:          0 kB
-Percpu:           188736 kB
+Percpu:           199104 kB
 HardwareCorrupted:     0 kB
 AnonHugePages:         0 kB
 ShmemHugePages:        0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    81731172 kB
-DirectMap2M:    115929088 kB
+DirectMap4k:    84911716 kB
+DirectMap2M:    112748544 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1699,18 +1699,18 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 14:
+analyzing CPU 42:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 14
-  CPUs which need to have their frequency coordinated by software: 14
+  CPUs which run at the same hardware frequency: 42
+  CPUs which need to have their frequency coordinated by software: 42
   maximum transition latency:  Cannot determine or is not supported.
-  hardware limits: 800 MHz - 4.80 GHz
+  hardware limits: 800 MHz - 4.60 GHz
   available cpufreq governors: performance powersave
-  current policy: frequency should be within 800 MHz and 4.80 GHz.
+  current policy: frequency should be within 800 MHz and 4.60 GHz.
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 4.23 GHz (asserted by call to kernel)
+  current CPU frequency: 1.50 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1761,16 +1761,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 5822162	4997628	45	0	1130827	0
+fs.dentry-state = 3848787	3153320	45	0	214198	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 13952	0	9223372036854775807
-fs.inode-nr = 6765409	2072760
-fs.inode-state = 6765409	2072760	0	0	0	0	0
+fs.file-nr = 14816	0	9223372036854775807
+fs.inode-nr = 6591050	2939678
+fs.inode-state = 6591050	2939678	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1798,7 +1798,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 4428
+fs.quota.syncs = 4602
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1825,7 +1825,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = 63098331a00e
+kernel.hostname = 733d3b7f3093
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1857,7 +1857,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 9556
+kernel.ns_last_pid = 10126
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1888,13 +1888,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 223
+kernel.pty.nr = 247
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 07715c0b-c7e1-4228-b5a8-fd2a4b022353
+kernel.random.uuid = 9d86c8da-9661-488c-81a3-3875c4f8b538
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
@@ -2734,7 +2734,7 @@ nvme0n1     259:2    0   3.6T  0 disk
 │                                     /usr/bin/nvidia-persistenced
 │                                     /usr/bin/nvidia-debugdump
 │                                     /usr/bin/nvidia-smi
-│                                     /home/cmuser/CM/repos/local/cache/31767c21a8f149e5
+│                                     /home/cmuser/CM/repos/local/cache/762e6805370c44eb
 │                                     /cm-mount/home/arjun/gh_action_submissions
 │                                     /cm-mount/home/arjun/gh_action_results
 │                                     /etc/hosts
diff --git a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt
index ab64db1e..343a2480 100644
--- a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt
+++ b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/accuracy/mlperf_log_detail.txt
@@ -1,70 +1,70 @@
-:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T17:48:51.958978", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T17:48:51.958984", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.003498, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "test_datetime", "value": "2025-01-19T01:09:11Z", "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "get_sut_name_duration_ns", "value": 166, "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.012843, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_min_query_count", "value": 50, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_max_query_count", "value": 50, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.018352, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_samples_per_query", "value": 50, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_query_count", "value": 50, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_sample_count", "value": 50, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.018478, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.020281, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1084, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.029675, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 2.154816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_samples_per_query", "value": 50, "time_ms": 2.154816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 2.154816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 130061.344880, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "power_begin", "value": "01-19-2025 01:09:11.027", "time_ms": 130061.347729, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "power_end", "value": "01-19-2025 01:11:21.073", "time_ms": 130061.347729, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 5430, "tid": 5430}}
+:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T17:48:51.958978", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T17:48:51.958984", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.002862, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "test_datetime", "value": "2025-01-21T17:35:47Z", "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 159, "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.008937, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_min_query_count", "value": 50, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_max_query_count", "value": 50, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.014357, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 50, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_query_count", "value": 50, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 50, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.014493, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.020469, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1084, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.029381, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 2.039681, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 50, "time_ms": 2.039681, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 2.039681, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 130030.952018, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "power_begin", "value": "01-21-2025 17:35:47.476", "time_ms": 130030.954660, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "power_end", "value": "01-21-2025 17:37:57.485", "time_ms": 130030.954660, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 5433, "tid": 5433}}
diff --git a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt
index ffd9d77a..6f7d5bf2 100644
--- a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt
+++ b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_detail.txt
@@ -1,87 +1,87 @@
-:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T17:48:51.958978", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T17:48:51.958984", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.006867, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "test_datetime", "value": "2025-01-19T01:05:33Z", "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "get_sut_name_duration_ns", "value": 202, "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.019199, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.025092, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_max_query_count", "value": 1, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_min_sample_count", "value": 1, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.025223, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.029900, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 835, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.038989, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 2.859433, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 2.859433, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 2.859433, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 2.891528, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 2845.959375, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "power_begin", "value": "01-19-2025 01:05:33.122", "time_ms": 2845.960906, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "power_end", "value": "01-19-2025 01:05:35.959", "time_ms": 2845.960906, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 700, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_samples_per_second", "value": 0.352477, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_min_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_max_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_mean_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
-:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 2837068300, "time_ms": 2845.993923, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5430, "tid": 5430}}
+:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T17:48:51.958978", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T17:48:51.958984", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.020118, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "test_datetime", "value": "2025-01-21T17:32:01Z", "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 649, "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 50, "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 5000, "time_ms": 0.039597, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.05, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 5000, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": false, "time_ms": 0.057106, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.05, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_max_query_count", "value": 1, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 1, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 5000, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": false, "time_ms": 0.057556, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.074487, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 835, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [25,24,46,36,21,22,39,13,45,4,32,40,33,23,10,44,34,15,28,29,3,30,1,47,26,31,16,8,2,0,49,27,48,5,17,19,20,18,43,9,14,6,35,7,12,37,11,38,42,41], "time_ms": 0.117587, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 3.277925, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 3.277925, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generated_query_duration", "value": 20000000000, "time_ms": 3.277925, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 3.327398, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 2796.255742, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "power_begin", "value": "01-21-2025 17:32:01.062", "time_ms": 2796.259705, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "power_end", "value": "01-21-2025 17:32:03.850", "time_ms": 2796.259705, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "early_stopping_result", "value": "", "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 700, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_samples_per_second", "value": 0.358711, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_min_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_max_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_mean_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
+:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 2787760348, "time_ms": 2796.323954, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 5433, "tid": 5433}}
diff --git a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt
index 22dd71d4..897dfe97 100644
--- a/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt
+++ b/open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline/performance/run_1/mlperf_log_summary.txt
@@ -4,7 +4,7 @@ MLPerf Results Summary
 SUT name : PySUT
 Scenario : Offline
 Mode     : PerformanceOnly
-Samples per second: 0.352477
+Samples per second: 0.358711
 Result is : VALID
   Min duration satisfied : Yes
   Min queries satisfied : Yes
@@ -13,15 +13,15 @@ Result is : VALID
 ================================================
 Additional Stats
 ================================================
-Min latency (ns)                : 2837068300
-Max latency (ns)                : 2837068300
-Mean latency (ns)               : 2837068300
-50.00 percentile latency (ns)   : 2837068300
-90.00 percentile latency (ns)   : 2837068300
-95.00 percentile latency (ns)   : 2837068300
-97.00 percentile latency (ns)   : 2837068300
-99.00 percentile latency (ns)   : 2837068300
-99.90 percentile latency (ns)   : 2837068300
+Min latency (ns)                : 2787760348
+Max latency (ns)                : 2787760348
+Mean latency (ns)               : 2787760348
+50.00 percentile latency (ns)   : 2787760348
+90.00 percentile latency (ns)   : 2787760348
+95.00 percentile latency (ns)   : 2787760348
+97.00 percentile latency (ns)   : 2787760348
+99.00 percentile latency (ns)   : 2787760348
+99.90 percentile latency (ns)   : 2787760348
 
 ================================================
 Test Parameters Used