| task,model,GPU,batch size,with torch.compile,without torch.compile | |
| image classification,ViT,V100,1,6,10.495 | |
| image classification,BeiT,V100,1,7.234,11.347 | |
| image classification,ConvNeXT,V100,1,10.412,11.623 | |
| image classification,ResNet,V100,1,3.82,6.484 | |
| object detection,DETR,V100,1,19.388,33.951 | |
| object detection,OwlViT,V100,1,22.395,25.769 | |
| object detection,Resnet-101,V100,1,28.367,52.818 | |
| object detection,Conditional-DETR,V100,1,20.816,39.512 | |
| image segmentation,Segformer,V100,1,5.862,13.321 | |
| image segmentation,Mask2former,V100,1,49.873,64.64 | |
| image segmentation,Maskformer,V100,1,72.207,95.532 | |
| image segmentation,MobileNet,V100,1,4.753,9.217 | |
| image classification,ViT,V100,4,14.501,15.181 | |
| image classification,BeiT,V100,4,14.753,15.171 | |
| image classification,ConvNeXT,V100,4,27.085,29.574 | |
| image classification,ResNet,V100,4,4.731,6.109 | |
| object detection,DETR,V100,4,64.195,88.529 | |
| object detection,Resnet-101,V100,4,101.304,134.672 | |
| object detection,Conditional-DETR,V100,4,69.739,97.464 | |
| image segmentation,Segformer,V100,4,16.188,16.787 | |
| image segmentation,Mask2former,V100,4,76.926,90.402 | |
| image segmentation,Maskformer,V100,4,205.456,234.261 | |
| image segmentation,MobileNet,V100,4,14.816,24.623 | |
| image classification,ViT,V100,16,51.633,52.209 | |
| image classification,BeiT,V100,16,53.581,53.938 | |
| image classification,ConvNeXT,V100,16,100.771,109.682 | |
| image classification,ResNet,V100,16,12.089,14.857 | |
| object detection,DETR,V100,16,OOM,OOM | |
| object detection,Resnet-101,V100,16,361.843,482.425 | |
| object detection,Conditional-DETR,V100,16,255.298,344.661 | |
| image segmentation,Segformer,V100,16,55.499,61.013 | |
| image segmentation,Mask2former,V100,16,222.801,249.605 | |
| image segmentation,Maskformer,V100,16,743.645,831.142 | |
| image segmentation,MobileNet,V100,16,55.365,93.129 |