

Below you can find inference durations in milliseconds for each model with and without compile(). Note that OwlViT results in OOM in larger batch sizes.
A100 (batch size: 1)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 9.325 | 7.584 | 
| Image Segmentation/Segformer | 11.759 | 10.500 |
| Object Detection/OwlViT | 24.978 | 18.420 |
| Image Classification/BeiT | 11.282 | 8.448 | 
| Object Detection/DETR | 34.619 | 19.040 |
| Image Classification/ConvNeXT | 10.410 | 10.208 | 
| Image Classification/ResNet | 6.531 | 4.124 |
| Image Segmentation/Mask2former | 60.188 | 49.117 |
| Image Segmentation/Maskformer | 75.764 | 59.487 | 
| Image Segmentation/MobileNet | 8.583 | 3.974 |
| Object Detection/Resnet-101 | 36.276 | 18.197 |
| Object Detection/Conditional-DETR | 31.219 | 17.993 |
A100 (batch size: 4)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 14.832 | 14.499 | 
| Image Segmentation/Segformer | 18.838 | 16.476 |
| Image Classification/BeiT | 13.205 | 13.048 | 
| Object Detection/DETR | 48.657 | 32.418|
| Image Classification/ConvNeXT | 22.940 | 21.631 | 
| Image Classification/ResNet | 6.657 | 4.268 |
| Image Segmentation/Mask2former | 74.277 | 61.781 |
| Image Segmentation/Maskformer | 180.700 | 159.116 | 
| Image Segmentation/MobileNet | 14.174 | 8.515 |
| Object Detection/Resnet-101 | 68.101 | 44.998 |
| Object Detection/Conditional-DETR | 56.470 | 35.552 |
A100 (batch size: 16)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 40.944 | 40.010 | 
| Image Segmentation/Segformer | 37.005 | 31.144 |
| Image Classification/BeiT | 41.854 | 41.048 | 
| Object Detection/DETR | 164.382 | 161.902 |
| Image Classification/ConvNeXT | 82.258 | 75.561 | 
| Image Classification/ResNet | 7.018 | 5.024 |
| Image Segmentation/Mask2former | 178.945 | 154.814 |
| Image Segmentation/Maskformer | 638.570 | 579.826 | 
| Image Segmentation/MobileNet | 51.693 | 30.310 |
| Object Detection/Resnet-101 | 232.887 | 155.021 |
| Object Detection/Conditional-DETR | 180.491 | 124.032 |
V100 (batch size: 1)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 10.495 | 6.00 | 
| Image Segmentation/Segformer | 13.321 | 5.862 | 
| Object Detection/OwlViT | 25.769 | 22.395 | 
| Image Classification/BeiT | 11.347 | 7.234 | 
| Object Detection/DETR | 33.951 | 19.388 |
| Image Classification/ConvNeXT | 11.623 | 10.412 | 
| Image Classification/ResNet | 6.484 | 3.820 |
| Image Segmentation/Mask2former | 64.640 | 49.873 |
| Image Segmentation/Maskformer | 95.532 | 72.207 | 
| Image Segmentation/MobileNet | 9.217 | 4.753 |
| Object Detection/Resnet-101 | 52.818 | 28.367 |
| Object Detection/Conditional-DETR | 39.512 | 20.816 |
V100 (batch size: 4)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 15.181 | 14.501 | 
| Image Segmentation/Segformer | 16.787 | 16.188 |
| Image Classification/BeiT | 15.171 | 14.753 | 
| Object Detection/DETR | 88.529 | 64.195 |
| Image Classification/ConvNeXT | 29.574 | 27.085 | 
| Image Classification/ResNet | 6.109 | 4.731 |
| Image Segmentation/Mask2former | 90.402 | 76.926 |
| Image Segmentation/Maskformer | 234.261 | 205.456 | 
| Image Segmentation/MobileNet | 24.623 | 14.816 |
| Object Detection/Resnet-101 | 134.672 | 101.304 |
| Object Detection/Conditional-DETR | 97.464 | 69.739 |
V100 (batch size: 16)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 52.209 | 51.633 | 
| Image Segmentation/Segformer | 61.013 | 55.499 |
| Image Classification/BeiT | 53.938 | 53.581  |
| Object Detection/DETR | OOM | OOM |
| Image Classification/ConvNeXT | 109.682 | 100.771 | 
| Image Classification/ResNet | 14.857 | 12.089 |
| Image Segmentation/Mask2former | 249.605 | 222.801 |
| Image Segmentation/Maskformer | 831.142 | 743.645 | 
| Image Segmentation/MobileNet | 93.129 | 55.365 |
| Object Detection/Resnet-101 | 482.425 | 361.843 |
| Object Detection/Conditional-DETR | 344.661 | 255.298 |
T4 (batch size: 1)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 16.520 | 15.786 | 
| Image Segmentation/Segformer | 16.116 | 14.205 |
| Object Detection/OwlViT | 53.634 | 51.105 |
| Image Classification/BeiT | 16.464 | 15.710 | 
| Object Detection/DETR | 73.100 | 53.99 |
| Image Classification/ConvNeXT | 32.932 | 30.845 | 
| Image Classification/ResNet | 6.031 | 4.321 |
| Image Segmentation/Mask2former | 79.192 | 66.815 |
| Image Segmentation/Maskformer | 200.026 | 188.268 | 
| Image Segmentation/MobileNet | 18.908 | 11.997 |
| Object Detection/Resnet-101 | 106.622 | 82.566 |
| Object Detection/Conditional-DETR | 77.594 | 56.984 |
T4 (batch size: 4)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 43.653 | 43.626 | 
| Image Segmentation/Segformer | 45.327 | 42.445 |
| Image Classification/BeiT | 52.007 | 51.354 | 
| Object Detection/DETR | 277.850 | 268.003 |
| Image Classification/ConvNeXT | 119.259 | 105.580 | 
| Image Classification/ResNet | 13.039 | 11.388 |
| Image Segmentation/Mask2former | 201.540 | 184.670 |
| Image Segmentation/Maskformer | 764.052 | 711.280 | 
| Image Segmentation/MobileNet | 74.289 | 48.677 |
| Object Detection/Resnet-101 | 421.859 | 357.614 |
| Object Detection/Conditional-DETR | 289.002 | 226.945 |
T4 (batch size: 16)
| Task/Model | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|
| Image Classification/ViT | 163.914 | 160.907 | 
| Image Segmentation/Segformer | 192.412 | 163.620 |
| Image Classification/BeiT | 188.978 | 187.976 | 
| Object Detection/DETR | OOM | OOM |
| Image Classification/ConvNeXT | 422.886 | 388.078 | 
| Image Classification/ResNet | 44.114 | 37.604 |
| Image Segmentation/Mask2former | 756.337 | 695.291 |
| Image Segmentation/Maskformer | 2842.940 | 2656.88 | 
| Image Segmentation/MobileNet | 299.003 | 201.942 |
| Object Detection/Resnet-101 |  1619.505 | 1262.758 | 
| Object Detection/Conditional-DETR | 1137.513 | 897.390|
PyTorch Nightly
We also benchmarked on PyTorch nightly (2.1.0dev, find the wheel here) and observed improvement in latency both for uncompiled and compiled models. 
A100
| Task/Model | Batch Size | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 12.462 | 6.954 | 
| Image Classification/BeiT | 4 | 14.109 | 12.851 | 
| Image Classification/BeiT | 16 | 42.179 | 42.147 | 
| Object Detection/DETR | Unbatched | 30.484 | 15.221 |
| Object Detection/DETR | 4 | 46.816 | 30.942 |
| Object Detection/DETR | 16 | 163.749 | 163.706  |
T4
| Task/Model | Batch Size | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 14.408 | 14.052 | 
| Image Classification/BeiT | 4 | 47.381 | 46.604 | 
| Image Classification/BeiT | 16 | 42.179 | 42.147  | 
| Object Detection/DETR | Unbatched | 68.382 | 53.481 |
| Object Detection/DETR | 4 | 269.615 | 204.785 |
| Object Detection/DETR | 16 | OOM | OOM   |
V100
| Task/Model | Batch Size | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|:---:|
| Image Classification/BeiT | Unbatched | 13.477 | 7.926 | 
| Image Classification/BeiT | 4 | 15.103 | 14.378 | 
| Image Classification/BeiT | 16 | 52.517 | 51.691  | 
| Object Detection/DETR | Unbatched | 28.706 | 19.077 |
| Object Detection/DETR | 4 | 88.402 | 62.949|
| Object Detection/DETR | 16 | OOM | OOM  |
Reduce Overhead
We benchmarked reduce-overhead compilation mode for A100 and T4 in Nightly.
A100
| Task/Model | Batch Size | torch 2.0 - no compile | torch 2.0 - compile |
|:---:|:---:|:---:|:---:|
| Image Classification/ConvNeXT | Unbatched | 11.758 | 7.335 | 
| Image Classification/ConvNeXT | 4 | 23.171 | 21.490 | 
| Image Classification/ResNet | Unbatched | 7.435 | 3.801 | 
| Image Classification/ResNet | 4 | 7.261 | 2.187 | 
| Object Detection/Conditional-DETR | Unbatched | 32.823 | 11.627  | 
| Object Detection/Conditional-DETR | 4 | 50.622 | 33.831  | 
| Image Segmentation/MobileNet | Unbatched | 9.869 | 4.244 |
| Image Segmentation/MobileNet | 4 | 14.385 | 7.946 |
T4
| Task/Model | Batch Size | torch 2.0 - no compile | torch 2.0 - compile | 
|:---:|:---:|:---:|:---:|
| Image Classification/ConvNeXT | Unbatched | 32.137 | 31.84 | 
| Image Classification/ConvNeXT | 4 | 120.944 | 110.209 | 
| Image Classification/ResNet | Unbatched | 9.761 | 7.698 | 
| Image Classification/ResNet | 4 | 15.215 | 13.871 | 
| Object Detection/Conditional-DETR | Unbatched | 72.150 | 57.660  | 
| Object Detection/Conditional-DETR | 4 | 301.494 | 247.543  | 
| Image Segmentation/MobileNet | Unbatched | 22.266 | 19.339  |
| Image Segmentation/MobileNet | 4 | 78.311 | 50.983 |