Added results summary

mlcommons-bot · mlcommons-bot · commit 0fb07cf85ed7 · 2025-01-25T12:42:12.000Z
diff --git a/open/Community/results/default-reference-cpu-tvm-onnx_v1.19.2-default_config/README.md b/open/Community/results/default-reference-cpu-tvm-onnx_v1.19.2-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 80.000</td><td>Samples/s</td> <td>1.72298</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 80.000</td><td>Samples/s</td> <td>1.72203</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/Community/results/default-reference-cpu-tvm-onnx_v1.19.2-default_config/summary.html b/open/Community/results/default-reference-cpu-tvm-onnx_v1.19.2-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 80.000</td><td>Samples/s</td> <td>1.72298</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 80.000</td><td>Samples/s</td> <td>1.72203</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
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diff --git a/open/MLCommons/results/gh_macos-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/README.md b/open/MLCommons/results/gh_macos-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>9.70211</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>9.60445</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_macos-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/summary.html b/open/MLCommons/results/gh_macos-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>9.70211</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>9.60445</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
 </body>
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diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/README.md b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>4.26497</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
+    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>7.89893</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
 
diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/summary.html b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>4.26497</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
+    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>7.89893</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
 
 </body>
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diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.5773</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.417568</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>22.4663</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.417459</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.5773</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.417568</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>22.4663</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.417459</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
 </body>
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diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/README.md b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.43353</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.428482</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/summary.html b/open/MLCommons/results/gh_macos-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.43353</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.428482</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>22.918</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.428754</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.0943</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.429174</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-mlcommons_cpp-cpu-onnxruntime-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>22.918</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.428754</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.0943</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.429174</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
 </body>
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>6.37052</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
+    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>6.25064</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-deepsparse_v1.8.0-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>6.37052</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
+    </tr><tr><td>bert-99</td><td>F1: 89.9653</td><td>F1: 80.0</td><td>Samples/s</td> <td>6.25064</td><td></td><td></td><td></td><td colspan="3"> N/A </td></table>
 
 </body>
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.2736</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.435178</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.1635</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.423121</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.2736</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.435178</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>23.1635</td><td></td><td></td><td></td><td></td><td></td><td></td><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.423121</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/README.md
@@ -57,5 +57,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>rgat</td><td>acc: 0.7213</td><td colspan="3"> N/A </td><td>acc: 75.200</td><td>Samples/s</td> <td>10.2551</td></table>
+    </tr><tr><td>rgat</td><td>acc: 0.7213</td><td colspan="3"> N/A </td><td>acc: 75.200</td><td>Samples/s</td> <td>10.0325</td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.4.0-default_config/summary.html
@@ -119,7 +119,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>rgat</td><td>acc: 0.7213</td><td colspan="3"> N/A </td><td>acc: 75.200</td><td>Samples/s</td> <td>10.2551</td></table>
+    </tr><tr><td>rgat</td><td>acc: 0.7213</td><td colspan="3"> N/A </td><td>acc: 75.200</td><td>Samples/s</td> <td>10.0325</td></table>
 
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.412351</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.410753</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-pytorch_v2.5.1-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.412351</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.410753</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
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diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/README.md b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>21.0225</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>20.9677</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/summary.html b/open/MLCommons/results/gh_ubuntu-latest_x86-reference-cpu-tf_v2.18.0-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>21.0225</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>20.9677</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
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diff --git a/open/MLCommons/results/gh_windows-latest-reference-cpu-pytorch_v2.5.1-default_config/README.md b/open/MLCommons/results/gh_windows-latest-reference-cpu-pytorch_v2.5.1-default_config/README.md
@@ -60,5 +60,5 @@ See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/ml
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.307868</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.314142</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
diff --git a/open/MLCommons/results/gh_windows-latest-reference-cpu-pytorch_v2.5.1-default_config/summary.html b/open/MLCommons/results/gh_windows-latest-reference-cpu-pytorch_v2.5.1-default_config/summary.html
@@ -122,7 +122,7 @@ <h3>Results Table</h3>
     <td>Performance</td><td> Accuracy </td>
     <td>Metric</td>
     <td>Performance</td>
-    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.307868</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+    </tr><tr><td>retinanet</td><td>mAP: 37.1745</td><td>mAP: 76.951</td><td>Samples/s</td> <td>0.314142</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
 
 </body>
 </html>
diff --git a/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md b/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/README.md
@@ -0,0 +1,64 @@
+
+See the HTML preview [here](https://htmlpreview.github.io/?https://github.com/mlcommons/mlperf_inference_test_submissions_v5.0/blob/refs/heads/main/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html)
+
+
+
+<div class="resultpage">
+ <div class="titlebarcontainer">
+  <div class="logo">
+   <a href="/" style="border: none"><img src="" alt="" /></a>
+  </div>
+  <div class="titlebar">
+   <h1 class="title">MLPerf Inference v5.0</h1>
+   <p style="font-size: smaller">Copyright 2019-2025 MLCommons</p>
+  </div>
+ </div>
+ <table class="titlebarcontainer">
+  <tr>
+   <td class="headerbar" rowspan="2">
+    <p>MLCommons     </p>
+    <p>gh_windows-latest_x86    </p>
+   </td>
+  </tr>
+ </table>
+ <table class="datebar">
+  <tbody>
+   <tr>
+    <th id="license_num"><a href="">MLPerf Inference Category:</a></th>
+    <td id="license_num_val">edge</td>
+    <th id="test_date"><a href="">MLPerf Inference Division:</a></th>
+    <td id="test_date_val">open</td>
+   </tr>
+   <tr>
+    <th id="tester"><a href="">Submitted by:</a></th>
+    <td id="tester_val">MLCommons</td>
+    <th id="sw_avail"><a href="">Availability:</a></th>
+    <td id="sw_avail_val">Available  as of February 2025</td>
+   </tr>
+  </tbody>
+ </table>
+  
+<table>
+            <tr><td><h3>Accelerator Details</h3><table><tr><td>accelerator_frequency</td><td></td></tr><tr><td>accelerator_host_interconnect</td><td>N/A</td></tr><tr><td>accelerator_interconnect</td><td>N/A</td></tr><tr><td>accelerator_interconnect_topology</td><td></td></tr><tr><td>accelerator_memory_capacity</td><td>N/A</td></tr><tr><td>accelerator_memory_configuration</td><td>N/A</td></tr><tr><td>accelerator_model_name</td><td>N/A</td></tr><tr><td>accelerator_on-chip_memories</td><td></td></tr><tr><td>accelerators_per_node</td><td>0</td></tr></table></td> <td><h3>Processor and Memory Details</h3><table><tr><td>host_memory_capacity</td><td>undefined</td></tr><tr><td>host_memory_configuration</td><td>undefined</td></tr><tr><td>host_processor_caches</td><td>L1d cache:  , L1i cache:  , L2 cache:  , L3 cache:  </td></tr><tr><td>host_processor_core_count</td><td>1</td></tr><tr><td>host_processor_frequency</td><td>undefined</td></tr><tr><td>host_processor_interconnect</td><td></td></tr><tr><td>host_processor_model_name</td><td>undefined</td></tr><tr><td>host_processors_per_node</td><td>1</td></tr></table></td> </tr>
+            <tr><td ><h3>Other Hardware Details</h3><table><tr><td>cooling</td><td>air</td></tr><tr><td>hw_notes</td><td></td></tr></table></td> <td><h3>Network and Interconnect Details</h3><table><tr><td>host_network_card_count</td><td>1</td></tr><tr><td>host_networking</td><td>Gig Ethernet</td></tr><tr><td>host_networking_topology</td><td>N/A</td></tr></table></td> </tr>
+            <tr><td colspan="2"><h3>Software Details</h3><table><tr><td>framework</td><td>onnxruntime v1.20.1</td></tr><tr><td>operating_system</td><td>Windows-2022Server-10.0.20348-SP0</td></tr><tr><td>other_software_stack</td><td>Python: 3.12.8, -</td></tr><tr><td>sw_notes</td><td></td></tr></table></td> </tr>
+            </table>
+
+<h3>Results Table</h3>
+<table>
+    <tr>
+        <th rowspan="2">Model</th>
+        <th rowspan="2">Accuracy Target</th>
+        <th colspan="3">Offline</th>
+        <th colspan="3">SingleStream</th>
+        <th colspan="3">MultiStream</th>
+    </tr>
+    <tr><td> Accuracy </td>
+    <td>Metric</td>
+    <td>Performance</td><td> Accuracy </td>
+    <td>Metric</td>
+    <td>Performance</td><td> Accuracy </td>
+    <td>Metric</td>
+    <td>Performance</td>
+    </tr><tr><td>resnet</td><td>acc: 75.6954</td><td>acc: 76.000</td><td>Samples/s</td> <td>17.3279</td><td></td><td></td><td></td><td></td><td></td><td></td></table>
+
diff --git a/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html b/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-onnxruntime_v1.20.1-default_config/summary.html
diff --git a/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-tf_v2.18.0-default_config/README.md b/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-tf_v2.18.0-default_config/README.md
diff --git a/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-tf_v2.18.0-default_config/summary.html b/open/MLCommons/results/gh_windows-latest_x86-reference-cpu-tf_v2.18.0-default_config/summary.html
