Image Classification on ImageNet-1K 1.0 (test) with Performance Metrics
83.7Top-1 AccRepViT-M2.3
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RepViT-M2.3Type=CONV, Params (M)=22.9, GMACS=4.5, Epochs=4502023.07 | 83.7 | 2.3 | 1,184 | — | — | — | — | — | — | — | — | |
| FastViT-SA36Params (M)=30.4, MACs (G)=5.62024.04 | 83.6 | — | — | — | 241.6 | 4.3 | — | — | 186.5 | 206.3 | 138.1 | |
| EfficientFormerV2-LType=Hybrid, Params (M)=26.1, GMACS=2.6, Epochs=4502023.07 | 83.5 | 2.7 | 399 | — | — | — | — | — | — | — | — | |
| MIT-EfficientViT-B3-r224Params (M)=49.0, MACs (G)=4.02024.04 | 83.5 | — | — | — | — | — | 12.2 | — | — | 125.9 | 18.4 | |
| MNv4-Hybrid-LParams (M)=35.9, MACs (G)=7.22024.04 | 83.4 | — | — | — | 87.6 | 3.8 | — | — | 61.3 | 61.8 | 18.1 | |
| EfficientFormer-L7Type=Hybrid, Params (M)=82.1, GMACS=10.2, Epochs=3002023.07 | 83.3 | 6.6 | 619 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-LType=Hybrid, Params (M)=26.1, GMACS=2.6, Epochs=3002023.07 | 83.3 | 2.7 | 399 | — | — | — | — | — | — | — | — | |
| RepViT-M2.3Type=CONV, Params (M)=22.9, GMACS=4.5, Epochs=3002023.07 | 83.3 | 2.3 | 1,184 | — | — | — | — | — | — | — | — | |
| NextViT-BParams (M)=44.8, MACs (G)=8.32024.04 | 83.2 | — | — | — | — | — | — | — | — | — | — | |
| ConvNext-SParams (M)=50, MACs (G)=8.72024.04 | 83.1 | — | — | — | 314.9 | 3.7 | — | — | 45.2 | 243.9 | 18.5 | |
| SwiftFormer-L3Type=Hybrid, Params (M)=28.5, GMACS=4, Epochs=3002023.07 | 83 | 2.9 | 1,474 | — | — | — | — | — | — | — | — | |
| MNv4-Conv-LParams (M)=31, MACs (G)=5.92024.04 | 82.9 | — | — | — | 59.9 | 2.4 | 3 | 20.8 | 37.6 | 43 | 13.2 | |
| MIT-EfficientViT-B2-r256Params (M)=24.0, MACs (G)=2.12024.04 | 82.7 | — | — | — | — | — | 5.4 | — | — | 64.9 | 9.5 | |
| MobileViG-BType=CNN-GNN, Params (M)=26.7, GMACS=2.8, Epochs=3002023.07 | 82.6 | 2.7 | 1,446 | — | — | — | — | — | — | — | — | |
| FastViT-SA24Params (M)=20.6, MACs (G)=3.82024.04 | 82.6 | — | — | — | 171.6 | 3.2 | 2.4 | — | 131.9 | 136.3 | 107.5 | |
| RepViT-M1.5Type=CONV, Params (M)=14, GMACS=2.3, Epochs=4502023.07 | 82.5 | 1.5 | 2,151 | — | — | — | — | — | — | — | — | |
| EfficientFormer-L3Type=Hybrid, Params (M)=31.3, GMACS=3.9, Epochs=3002023.07 | 82.4 | 2.7 | 1,422 | — | — | — | — | — | — | — | — | |
| RepViT-M1.5Type=CONV, Params (M)=14, GMACS=2.3, Epochs=3002023.07 | 82.3 | 1.5 | 2,151 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S2Type=Hybrid, Params (M)=12.6, GMACS=1.3, Epochs=4502023.07 | 82 | 1.6 | 611 | — | — | — | — | — | — | — | — | |
| FastViT-SA12Type=Hybrid, Params (M)=10.9, GMACS=1.9, Epochs=3002023.07 | 81.9 | 1.8 | 2,181 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S2Type=Hybrid, Params (M)=12.6, GMACS=1.3, Epochs=3002023.07 | 81.6 | 1.6 | 611 | — | — | — | — | — | — | — | — | |
| RepViT-M1.1Type=CONV, Params (M)=8.2, GMACS=1.3, Epochs=4502023.07 | 81.2 | 1.1 | 3,604 | — | — | — | — | — | — | — | — | |
| FastViT-S12Type=Hybrid, Params (M)=8.8, GMACS=1.8, Epochs=3002023.07 | 80.9 | 1.5 | 2,313 | — | — | — | — | — | — | — | — | |
| SwiftFormer-L1Type=Hybrid, Params (M)=12.1, GMACS=1.6, Epochs=3002023.07 | 80.9 | 1.6 | 2,576 | — | — | — | — | — | — | — | — | |
| RepViT-M1.1Type=CONV, Params (M)=8.2, GMACS=1.3, Epochs=3002023.07 | 80.7 | 1.1 | 3,604 | — | — | — | — | — | — | — | — | |
| MNv4-Hybrid-MParams (M)=10.5, MACs (G)=1.22024.04 | 80.7 | — | — | — | 14.3 | 1.5 | — | — | 17.9 | 10.8 | 5.9 | |
| MobileViG-MType=CNN-GNN, Params (M)=14, GMACS=1.5, Epochs=3002023.07 | 80.6 | 1.6 | 2,491 | — | — | — | — | — | — | — | — | |
| FastViT-SA12Params (M)=10.9, MACs (G)=1.92024.04 | 80.6 | — | — | — | 86.5 | 2 | 1.6 | — | 79.6 | 69.5 | 52.1 | |
| RepViT-M1.0Type=CONV, Params (M)=6.8, GMACS=1.1, Epochs=4502023.07 | 80.3 | 1 | 3,910 | — | — | — | — | — | — | — | — | |
| RepViT-M1.0Type=CONV, Params (M)=6.8, GMACS=1.1, Epochs=3002023.07 | 80 | 1 | 3,910 | — | — | — | — | — | — | — | — | |
| MNv4-Conv-MParams (M)=9.2, MACs (G)=1.02024.04 | 79.9 | — | — | — | 11.4 | 1.1 | 1.1 | 7.3 | 18.1 | 8.6 | 4.1 | |
| FastViT-S12Params (M)=8.8, MACs (G)=1.82024.04 | 79.8 | — | — | — | 83 | 1.8 | 1.6 | — | 75 | 69.2 | 47 | |
| EfficientFormerV2-S1Type=Hybrid, Params (M)=6.1, GMACS=0.7, Epochs=4502023.07 | 79.7 | 1.1 | 1,153 | — | — | — | — | — | — | — | — | |
| MobileOne-S4Params (M)=14.8, MACs (G)=1.52024.04 | 79.4 | — | — | — | 26.7 | 1.7 | 1.5 | 9 | 28.6 | 19.4 | 5.9 | |
| MIT-EfficientViT-B1-r224Params (M)=9.1, MACs (G)=0.52024.04 | 79.4 | — | — | — | — | — | 2.4 | — | — | 18.1 | 5 | |
| EfficientFormer-L1Type=Hybrid, Params (M)=12.3, GMACS=1.3, Epochs=3002023.07 | 79.2 | 1.4 | 3,360 | — | — | — | — | — | — | — | — | |
| RepViT-M0.9Type=CONV, Params (M)=5.1, GMACS=0.8, Epochs=4502023.07 | 79.1 | 0.9 | 4,817 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S1Type=Hybrid, Params (M)=6.1, GMACS=0.7, Epochs=3002023.07 | 79 | 1.1 | 1,153 | — | — | — | — | — | — | — | — | |
| RepViT-M0.9Type=CONV, Params (M)=5.1, GMACS=0.8, Epochs=3002023.07 | 78.7 | 0.9 | 4,817 | — | — | — | — | — | — | — | — | |
| SwiftFormer-SType=Hybrid, Params (M)=6.1, GMACS=1, Epochs=3002023.07 | 78.5 | 1.2 | 3,376 | — | — | — | — | — | — | — | — | |
| MobileNet-V2-2.0xParams (M)=11.2, MACs (G)=1.12024.04 | 78.4 | — | — | — | 13.9 | 1.1 | 1.5 | 6.9 | 19.1 | 10.6 | 4.2 | |
| MobileViG-SType=CNN-GNN, Params (M)=7.2, GMACS=1, Epochs=3002023.07 | 78.2 | 1.2 | 2,985 | — | — | — | — | — | — | — | — | |
| MultiHardware-AVG-1.5xParams (M)=10.0, MACs (G)=1.02024.04 | 78.2 | — | — | — | 12 | 1.1 | — | 6.1 | 20.3 | — | 4.5 | |
| MultiHardware-MAX-1.5xParams (M)=8.9, MACs (G)=0.82024.04 | 77.9 | — | — | — | 9.8 | 1 | — | 5.7 | 23.2 | — | 4.1 | |
| MobileNet-V2-1.5xParams (M)=6.8, MACs (G)=0.72024.04 | 76.8 | — | — | — | 9.3 | 0.9 | 1 | 5.6 | 16.4 | 7.3 | 3.3 | |
| FastViT-T8Type=Hybrid, Params (M)=3.6, GMACS=0.7, Epochs=3002023.07 | 76.7 | 0.9 | 3,909 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S0Type=Hybrid, Params (M)=3.5, GMACS=0.4, Epochs=4502023.07 | 76.2 | 0.9 | 1,274 | — | — | — | — | — | — | — | — | |
| MobileViG-TiType=CNN-GNN, Params (M)=5.2, GMACS=0.7, Epochs=3002023.07 | 75.7 | 1 | 4,337 | — | — | — | — | — | — | — | — | |
| SwiftFormer-XSType=Hybrid, Params (M)=3.5, GMACS=0.6, Epochs=3002023.07 | 75.7 | 1 | 4,304 | — | — | — | — | — | — | — | — | |
| EfficientFormerV2-S0Type=Hybrid, Params (M)=3.5, GMACS=0.4, Epochs=3002023.07 | 75.7 | 0.9 | 1,274 | — | — | — | — | — | — | — | — | |
| FastViT-T8+Params (M)=3.6, MACs (G)=0.72024.04 | 75.6 | — | — | — | 49.3 | 1.3 | 0.7 | — | 40.7 | 43.6 | 24.7 | |
| MobileNet-V1Params (M)=4.2, MACs (G)=0.62024.04 | 74 | — | — | — | 6.1 | 0.8 | 0.7 | 3.2 | 13 | 4.6 | 2.1 | |
| MNv4-Conv-SParams (M)=3.8, MACs (G)=0.22024.04 | 73.8 | — | — | — | 2.4 | 0.7 | 0.6 | 2.4 | 8.4 | 1.8 | 2 | |
| MobileNet-V2Params (M)=3.5, MACs (G)=0.32024.04 | 73.4 | — | — | — | 5 | 0.7 | 0.7 | 3.9 | 13.6 | 4.1 | 2.5 | |
| MobileOne-S0Params (M)=2.1, MACs (G)=0.32024.04 | 71.4 | — | — | — | 4.2 | 0.7 | 0.5 | 2.9 | 10.7 | 3.3 | 1.7 | |
| WaveMix-240/12 (3 level)# Param.=33.8 M, GPU RAM for batch size 64=15.6 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 70.02 | — | 610 | 205 | — | — | — | — | — | — | — | |
| MobileNet-V3L-0.5xParams (M)=2.7, MACs (G)=0.12024.04 | 69.2 | — | — | — | 2.4 | 0.8 | 0.45 | 3.5 | 9.9 | 2 | 2.1 | |
| MobileNet-V2-0.5xParams (M)=2.0, MACs (G)=0.12024.04 | 66 | — | — | — | 2.4 | 0.7 | 0.5 | 2.9 | 8.3 | 1.8 | 1.9 | |
| WaveMix-224/12 (2 level)# Param.=22.6 M, GPU RAM for batch size 64=9.8 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 65.9 | — | 1,250 | 385 | — | — | — | — | — | — | — | |
| ResNet-152# Param.=60.2 M, GPU RAM for batch size 64=12.7 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 65.86 | — | 758 | 344 | — | — | — | — | — | — | — | |
| ResNet-101# Param.=44.5 M, GPU RAM for batch size 64=9.6 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 64.6 | — | 725 | 487 | — | — | — | — | — | — | — | |
| ConvMixer-1024/12# Param.=14.6 M, GPU RAM for batch size 64=23.6 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 64.13 | — | 667 | 251 | — | — | — | — | — | — | — | |
| ConvMixer-512/16# Param.=5.4 M, GPU RAM for batch size 64=14.1 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 62.24 | — | 725 | 220 | — | — | — | — | — | — | — | |
| ResNet-50# Param.=25.6 M, GPU RAM for batch size 64=6.2 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 61.76 | — | 617 | 638 | — | — | — | — | — | — | — | |
| ConvMixer-512/12# Param.=4.2 M, GPU RAM for batch size 64=10.8 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 60.24 | — | 735 | 292 | — | — | — | — | — | — | — | |
| MobileNetv3-large# Param.=5.5 M, GPU RAM for batch size 64=3.5 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 58.89 | — | 481 | 492 | — | — | — | — | — | — | — | |
| ResNet-34# Param.=21.8 M, GPU RAM for batch size 64=3.1 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 57.02 | — | 410 | 414 | — | — | — | — | — | — | — | |
| ResNet-18# Param.=11.7 M, GPU RAM for batch size 64=2.7 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 55.12 | — | 439 | 450 | — | — | — | — | — | — | — | |
| WaveMix-Lite-128/8# Param.=3.9 M, GPU RAM for batch size 64=4.5 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 54.12 | — | 1,724 | 1,242 | — | — | — | — | — | — | — | |
| MobileNetv3-small# Param.=2.5 M, GPU RAM for batch size 64=1.4 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 51.57 | — | 229 | 255 | — | — | — | — | — | — | — | |
| ViT-B-16# Param.=86.6 M, GPU RAM for batch size 64=10.0 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 39.53 | — | 420 | 140 | — | — | — | — | — | — | — | |
| ViT-B-32# Param.=88.2 M, GPU RAM for batch size 64=2.2 GB, Input Resolution=224x224, Data Augmentation=None2022.05 | 30.11 | — | 1,613 | 1,595 | — | — | — | — | — | — | — |