| task,model,GPU,batch size,with torch.compile,without torch.compile | |
| image classification,ViT,A100,1,7.584,9.325 | |
| image classification,BeiT,A100,1,8.448,11.282 | |
| image classification,ConvNeXT,A100,1,10.208,10.41 | |
| image classification,ResNet,A100,1,4.124,6.531 | |
| object detection,DETR,A100,1,19.04,34.619 | |
| object detection,OwlViT,A100,1,18.42,24.978 | |
| object detection,Resnet-101,A100,1,18.197,36.276 | |
| object detection,Conditional-DETR,A100,1,17.993,31.219 | |
| image segmentation,Segformer,A100,1,10.5,11.759 | |
| image segmentation,Mask2former,A100,1,49.117,60.188 | |
| image segmentation,Maskformer,A100,1,59.487,75.764 | |
| image segmentation,MobileNet,A100,1,3.974,8.583 | |
| image classification,ViT,A100,4,14.499,14.832 | |
| image classification,BeiT,A100,4,13.048,13.205 | |
| image classification,ConvNeXT,A100,4,21.631,22.94 | |
| image classification,ResNet,A100,4,4.268,6.657 | |
| object detection,DETR,A100,4,32.418,48.657 | |
| object detection,Resnet-101,A100,4,44.998,68.101 | |
| object detection,Conditional-DETR,A100,4,35.552,56.47 | |
| image segmentation,Segformer,A100,4,16.476,18.838 | |
| image segmentation,Mask2former,A100,4,61.781,74.277 | |
| image segmentation,Maskformer,A100,4,159.116,180.7 | |
| image segmentation,MobileNet,A100,4,8.515,14.174 | |
| image classification,ViT,A100,16,40.01,40.944 | |
| image classification,BeiT,A100,16,41.048,41.854 | |
| image classification,ConvNeXT,A100,16,75.561,82.258 | |
| image classification,ResNet,A100,16,5.024,7.018 | |
| object detection,DETR,A100,16,161.902,164.382 | |
| object detection,Resnet-101,A100,16,155.021,232.887 | |
| object detection,Conditional-DETR,A100,16,124.032,180.491 | |
| image segmentation,Segformer,A100,16,31.144,37.005 | |
| image segmentation,Mask2former,A100,16,154.814,178.945 | |
| image segmentation,Maskformer,A100,16,579.826,638.57 | |
| image segmentation,MobileNet,A100,16,30.31,51.693 |