Image Classification on ImageNet-1K (Accuracy & Performance Metrics)
4.25Power Consumption (mJ)TP-Spikformer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TP-SpikformerArchitecture=SDT-V3-19M, S=✓, T=1×4, Navg=×0.562026.02 | 4.25 | 77.55 | 0.98 | 1,886 | |
| TP-SpikformerArchitecture=SDT-V3-19M, S=✓, T=1×4, Navg=×0.652026.02 | 4.43 | 78.1 | 1.13 | 1,851 | |
| TP-SpikformerArchitecture=SDT-V3-19M, S=✓, T=1×4, Navg=×0.782026.02 | 4.68 | 79.01 | 1.37 | 1,785 | |
| SDT-V3-19MArchitecture=SDT-V3-19M, S=-, T=1×4, Navg=×12026.02 | 5.47 | 79.72 | 1.74 | 1,562 | |
| TP-SpikformerArchitecture=SDT-V1-8-768, S=✓, T=4, Navg=×0.512026.02 | 6.36 | 74.79 | 4.71 | 202 | |
| TP-SpikformerArchitecture=SDT-V1-8-768, S=✓, T=4, Navg=×0.652026.02 | 7.46 | 75.62 | 5.93 | 189 | |
| TP-SpikformerArchitecture=SDT-V1-8-768, S=✓, T=4, Navg=×0.742026.02 | 8.2 | 75.82 | 6.75 | 181 | |
| SDT-V1-8-768Architecture=SDT-V1-8-768, S=-, T=4, Navg=×12026.02 | 10.26 | 76.32 | 9.04 | 156 | |
| STATAArchitecture=Spikformer-8-768, S=✗, T=4, Navg=×0.50†2026.02 | 11.16 | 74.03 | — | — | |
| SEWArchitecture=SEW-ResNet-152, S=-, T=4, Navg=×12026.02 | 12.891 | 69.26 | — | — | |
| SpikformerArchitecture=Spikformer-8-768, S=-, T=4, Navg=×12026.02 | 21.48 | 74.81 | 18.91 | 229 | |
| TP-SpikformerArchitecture=QK-10-768, S=✓, T=4, Navg=×0.532026.02 | 25.71 | 82.53 | 7.97 | 106 | |
| TP-SpikformerArchitecture=QK-10-768, S=✓, T=4, Navg=×0.652026.02 | 27.19 | 84.32 | 9.61 | 88 | |
| TP-SpikformerArchitecture=QK-10-768, S=✓, T=4, Navg=×0.722026.02 | 28.18 | 84.45 | 10.7 | 84 | |
| QK-10-768Architecture=QK-10-768, S=-, T=4, Navg=×12026.02 | 32.12 | 85.56 | 15.08 | 75 | |
| SNN-ViTArchitecture=SNN-ViT-8-512, S=-, T=4, Navg=×12026.02 | 35.75 | 80.23 | — | 378 |