
Classification
In this section we provide benchmarks of the pre-trained models and details on how they were configured, trained and quantized.
Benchmarks
Here is how to initialize the pre-trained models:
large = torchvision.models.mobilenet_v3_large(pretrained=True, width_mult=1.0,  reduced_tail=False, dilated=False)
small = torchvision.models.mobilenet_v3_small(pretrained=True)
quantized = torchvision.models.quantization.mobilenet_v3_large(pretrained=True)

Below we have the detailed benchmarks between new and selected previous models. As we can see MobileNetV3-Large is a viable replacement of ResNet50 for users who are willing to sacrifice a bit of accuracy for a roughly 6x speed-up:



Model
Acc@1
Acc@5
Inference on CPU (sec)
# Params (M)




MobileNetV3-Large
74.042
91.340
0.0411
5.48


