torch.compile benchmarks.csv

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