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torchvision/swin_v2_t

ModelOpt (INT8) · TensorRT
swin_v2_t architecture graph
swin_v2_t architecture graph
  • torchvision
  • INT8
  • L4
Labels
  • Image
  • Classification
Build
Embedl-optimized
Precision
INT8
Runtime
TensorRT 11.2.1 with Embedl optimizations
Run swin_v2_t on L4

swin_v2_t is an image classifier from torchvision. It labels an image with one of the 1,000 ImageNet classes.

Methodology

  • Latency: trtexec on the NVIDIA L4 with TensorRT 11.2.1: batch 1, median and p99 over the timed iterations.
  • Accuracy: the ImageNet validation set, 50,000 images, on the NVIDIA L4.
  • Build: ModelOpt INT8 quantization, calibrated on ImageNetCalibDataset (512 samples), compiled with TensorRT 11.2.1 on the NVIDIA L4.