Image Classification on ImageNet-1k (Top-1 Accuracy Focus)
82.92Top-1 AccuracyMobileNetV4-L
Evaluation results
| Method | Links | |
|---|---|---|
| MobileNetV4-LParams (M)=31.44, FLOPs (M)=2170, Latency GPU (ms)=10.75, Latency CPU (ms)=79.94, Latency Mobile (ms)=11.712025.05 | 82.92 | |
| MCWCCompression Ratio=2×, Bits per model parameter=16.5, Storage (MB)=178, Decode time (s)=0.342026.05 | 81.72 | |
| MCWCCompression Ratio=4×, Bits per model parameter=8.3, Storage (MB)=90, Decode time (s)=0.232026.05 | 81.45 | |
| QAT INT8Compression Ratio=4×, Bits per model parameter=8.4, Storage (MB)=91, Decode time (s)=0.222026.05 | 81.28 | |
| SmoothQuant INT8Compression Ratio=4×, Bits per model parameter=8.4, Storage (MB)=91, Decode time (s)=0.222026.05 | 81.12 | |
| Per-channel PTQ INT8Compression Ratio=4×, Bits per model parameter=8.4, Storage (MB)=91, Decode time (s)=0.222026.05 | 81.05 | |
| Uniform PTQ INT8Compression Ratio=4×, Bits per model parameter=8.6, Storage (MB)=93, Decode time (s)=0.212026.05 | 80.95 | |
| MCWCCompression Ratio=8×, Bits per model parameter=4.2, Storage (MB)=46, Decode time (s)=0.182026.05 | 80.92 | |
| Hadaptive-Net-LParams (M)=6.11, FLOPs (M)=669, Latency GPU (ms)=7.13, Latency CPU (ms)=57.62, Latency Mobile (ms)=9.112025.05 | 80.79 | |
| QAT INT4Compression Ratio=8×, Bits per model parameter=4.3, Storage (MB)=47, Decode time (s)=0.172026.05 | 80.35 | |
| AWQ W4Compression Ratio=8×, Bits per model parameter=4.2, Storage (MB)=46, Decode time (s)=0.192026.05 | 80.25 | |
| MCWCCompression Ratio=12×, Bits per model parameter=2.8, Storage (MB)=31, Decode time (s)=0.162026.05 | 80.15 | |
| GPTQ W4Compression Ratio=8×, Bits per model parameter=4.3, Storage (MB)=47, Decode time (s)=0.192026.05 | 80.1 | |
| DeiT-SmallFLOPs=4.6G, Params=22M2026.05 | 79.9 | |
| MobileNetV4-MParams (M)=8.56, FLOPs (M)=827, Latency GPU (ms)=8.42, Latency CPU (ms)=47.93, Latency Mobile (ms)=9.362025.05 | 79.88 | |
| Uniform PTQ INT4Compression Ratio=8×, Bits per model parameter=4.3, Storage (MB)=47, Decode time (s)=0.162026.05 | 79.35 | |
| Learned SQ + entropyCompression Ratio=12×, Bits per model parameter=2.9, Storage (MB)=32, Decode time (s)=0.192026.05 | 78.7 | |
| StarNet-S4Params (M)=7.22, FLOPs (M)=1050, Latency GPU (ms)=9.20, Latency CPU (ms)=134.0, Latency Mobile (ms)=12.242025.05 | 78.12 | |
| MobileOne-S3Params (M)=10.15, FLOPs (M)=1896, Latency GPU (ms)=10.02, Latency CPU (ms)=81.28, Latency Mobile (ms)=10.362025.05 | 78.09 | |
| Hadaptive-Net-MParams (M)=3.09, FLOPs (M)=339, Latency GPU (ms)=5.26, Latency CPU (ms)=39.81, Latency Mobile (ms)=6.472025.05 | 78.07 | |
| Prune+Quant (50%)Compression Ratio=12×, Bits per model parameter=2.7, Storage (MB)=30, Decode time (s)=0.142026.05 | 77.6 | |
| MobileOne-S2Params (M)=7.80, FLOPs (M)=1299, Latency GPU (ms)=9.77, Latency CPU (ms)=61.19, Latency Mobile (ms)=10.232025.05 | 77.41 | |
| StarNet-S3Params (M)=5.49, FLOPs (M)=754, Latency GPU (ms)=8.60, Latency CPU (ms)=112.7, Latency Mobile (ms)=9.872025.05 | 77.26 | |
| PODSSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=0.0015, Total GPU Hours=84.02026.05 | 76.8 | |
| InfobatchSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=0.0028, Total GPU Hours=84.02026.05 | 76.5 | |
| Whole DatasetSelection Ratio=100%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=17.5, Overhead (h)=0.0, Total GPU Hours=140.02026.05 | 76.4 | |
| WWT-SmallFLOPs=4.8G, Params=34M2026.05 | 76.1 | |
| MobileOne-S1Params (M)=4.82, FLOPs (M)=825, Latency GPU (ms)=7.57, Latency CPU (ms)=40.76, Latency Mobile (ms)=7.982025.05 | 75.9 | |
| UCBSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=0.03, Total GPU Hours=84.02026.05 | 75.8 | |
| DUALSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>11.6, Total GPU Hours=>176.82026.05 | 75.5 | |
| MobileNetV3-LParams (M)=4.33, FLOPs (M)=215, Latency GPU (ms)=6.09, Latency CPU (ms)=56.41, Latency Mobile (ms)=6.662025.05 | 75.2 | |
| StarNet-S2Params (M)=3.43, FLOPs (M)=544, Latency GPU (ms)=7.30, Latency CPU (ms)=94.50, Latency Mobile (ms)=8.412025.05 | 74.78 | |
| Hadaptive-Net-SParams (M)=2.10, FLOPs (M)=131, Latency GPU (ms)=3.41, Latency CPU (ms)=29.45, Latency Mobile (ms)=4.282025.05 | 73.96 | |
| GhostNetV3-1.0Params (M)=8.13, FLOPs (M)=404, Latency GPU (ms)=13.91, Latency CPU (ms)=180.54, Latency Mobile (ms)=19.072025.05 | 73.92 | |
| MobileNetV4-SParams (M)=2.62, FLOPs (M)=185, Latency GPU (ms)=4.46, Latency CPU (ms)=24.68, Latency Mobile (ms)=4.312025.05 | 73.8 | |
| StarNet-S1Params (M)=2.68, FLOPs (M)=422, Latency GPU (ms)=6.00, Latency CPU (ms)=82.73, Latency Mobile (ms)=7.962025.05 | 73.5 | |
| RL-SelectorSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 73.4 | |
| GhostNet-1.0Params (M)=4.03, FLOPs (M)=140, Latency GPU (ms)=9.35, Latency CPU (ms)=87.59, Latency Mobile (ms)=10.022025.05 | 73.21 | |
| CLIP-SelSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>1.6, Total GPU Hours=>96.82026.05 | 73.2 | |
| ModerateSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 73.1 | |
| ForgettingSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 72.5 | |
| EL2NSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 72.3 | |
| DeiT-TinyFLOPs=1.3G, Params=5M2026.05 | 72.2 | |
| MobileOne-S0Params (M)=2.10, FLOPs (M)=275, Latency GPU (ms)=3.48, Latency CPU (ms)=30.70, Latency Mobile (ms)=5.112025.05 | 71.42 | |
| WWT-TinyFLOPs=1.3G, Params=9M2026.05 | 71.3 | |
| HerdingSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 71.1 | |
| GraNdSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>17.5, Total GPU Hours=>224.02026.05 | 71 | |
| SSPSelection Ratio=60%, Backbone=ResNet-50, Hardware=8-A100 server, Time (h)=10.5, Overhead (h)=>24.0, Total GPU Hours=>276.02026.05 | 70 | |
| ShuffleNetV2-1.0Params (M)=2.28, FLOPs (M)=146, Latency GPU (ms)=3.58, Latency CPU (ms)=40.60, Latency Mobile (ms)=4.552025.05 | 69.4 | |
| MobileNetV3-SParams (M)=1.62, FLOPs (M)=56, Latency GPU (ms)=4.98, Latency CPU (ms)=33.21, Latency Mobile (ms)=6.712025.05 | 67.42 | |
| L3FACTSampling Ratio=2%, Backbone=ViT2026.06 | 65.73 | |
| FACTSampling Ratio=2%, Backbone=ViT2026.06 | 65.33 | |
| LP-FTSampling Ratio=2%, Backbone=ViT2026.06 | 64.18 | |
| VeCAFSampling Ratio=2%, Backbone=ViT, multi-run=true2026.06 | 63.76 | |
| LPSampling Ratio=2%, Backbone=ViT2026.06 | 63.74 | |
| LP-LoRASampling Ratio=2%, Backbone=ViT2026.06 | 63.74 | |
| L3FACTSampling Ratio=1%, Backbone=ViT2026.06 | 62.41 | |
| FACTSampling Ratio=1%, Backbone=ViT2026.06 | 61.95 | |
| ActiveDCSampling Ratio=2%, Backbone=ViT2026.06 | 60.1 | |
| LP-FTSampling Ratio=1%, Backbone=ViT2026.06 | 59.63 | |
| LP-LoRASampling Ratio=1%, Backbone=ViT2026.06 | 59.2 | |
| LPSampling Ratio=1%, Backbone=ViT2026.06 | 59.03 | |
| L3FACTSampling Ratio=0.5%, Backbone=ViT2026.06 | 58.69 | |
| VeCAFSampling Ratio=1%, Backbone=ViT, multi-run=true2026.06 | 58.31 | |
| FACTSampling Ratio=0.5%, Backbone=ViT2026.06 | 57.58 | |
| BiLAFSampling Ratio=2%, Backbone=ViT2026.06 | 56.9 | |
| ActiveDCSampling Ratio=1%, Backbone=ViT2026.06 | 56.3 | |
| ActiveFTSampling Ratio=2%, Backbone=ViT2026.06 | 54.2 | |
| FFSampling Ratio=2%, Backbone=ViT2026.06 | 54.2 | |
| LP-FTSampling Ratio=0.5%, Backbone=ViT2026.06 | 53.67 | |
| LP-LoRASampling Ratio=0.5%, Backbone=ViT2026.06 | 53.06 | |
| LPSampling Ratio=0.5%, Backbone=ViT2026.06 | 53.01 | |
| ActiveDCSampling Ratio=0.5%, Backbone=ViT2026.06 | 50.9 | |
| BiLAFSampling Ratio=1%, Backbone=ViT2026.06 | 50.8 | |
| ActiveFTSampling Ratio=1%, Backbone=ViT2026.06 | 50.1 | |
| FFSampling Ratio=1%, Backbone=ViT2026.06 | 50.1 | |
| ActiveFTSampling Ratio=0.5%, Backbone=ViT2026.06 | 36.8 | |
| FFSampling Ratio=0.5%, Backbone=ViT2026.06 | 36.8 |