List your company
ResearchFormerly WizWand

Image Classification on ImageNet (val) (Accuracy and Training Configuration)

74.52Top-1 AccuracyFP32
54.260859.520464.7870.0396Aug 1, 2024
Updated 6mo ago

Evaluation results

MethodLinks
FP32Model=resnet50, bits=42024.0874.52101.2
BRECQModel=resnet50, bits=42024.0873.88101,024
LSQModel=resnet50, bits=42024.0873.84101.2
DSQModel=resnet50, bits=42024.0873.39101.2
CoRaModel=resnet50, bits=42024.0872.85101,600
AdaRoundModel=resnet50, bits=42024.0872.81102,048
CoRaModel=resnet50, bits=32024.0872.81101,600
AdaQuantModel=resnet50, bits=42024.0872.8101,000
AdaRoundModel=resnet50, bits=32024.0871.06102,048
BRECQModel=resnet50, bits=32024.0870.87101,024
LSQModel=resnet18, bits=42024.0867.89101.2
FP32Model=resnet18, bits=42024.0867.32101.2
DSQModel=resnet18, bits=42024.0866.99101.2
BRECQModel=resnet18, bits=42024.0866.96101,024
LSQModel=resnet18, bits=32024.0866.13101.2
BRECQModel=resnet18, bits=32024.0866.12101,024
PACTModel=resnet18, bits=42024.0866.08101.2
DoReFa-NetModel=resnet18, bits=42024.0865.99101.2
AdaQuantModel=resnet50, bits=32024.0865.43101,000
PACTModel=resnet18, bits=32024.0865.31101.2
CoRaModel=resnet18, bits=42024.0865.23101,600
AdaQuantModel=resnet18, bits=42024.0865.18101,000
AdaRoundModel=resnet18, bits=42024.0865.08102,048
CoRaModel=resnet18, bits=32024.0864.5101,600
AdaRoundModel=resnet18, bits=32024.0864.47102,048
AdaQuantModel=resnet18, bits=32024.0855.04101,000