

Below you can find the list of the models we benchmarked.
Image Classification 
- google/vit-base-patch16-224
- microsoft/beit-base-patch16-224-pt22k-ft22k
- facebook/convnext-large-224
- microsoft/resnet-50
Image Segmentation 
- nvidia/segformer-b0-finetuned-ade-512-512
- facebook/mask2former-swin-tiny-coco-panoptic
- facebook/maskformer-swin-base-ade
- google/deeplabv3_mobilenet_v2_1.0_513
Object Detection 
- google/owlvit-base-patch32
- facebook/detr-resnet-101
- microsoft/conditional-detr-resnet-50
Below you can find visualization of inference durations with and without torch.compile() and percentage improvements for each model in different hardware and batch sizes. 