Resource Efficiency Evaluation on PAMAP2 for Human Activity Recognition
0.27Total Energy (µJ)SpikeTCN
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SpikeTCNParams (M)=0.02, FLOPs (M)=11.98, SOPs (M)=2.672026.04 | 0.27 | — | — | — | — | — | — | — | — | — | — | — | |
| SNN MLPParams (M)=0.01, FLOPs (M)=3.00, SOPs (M)=0.182026.04 | 1.08 | — | — | — | — | — | — | — | — | — | — | — | |
| TSSNNParams (M)=0.003, FLOPs (M)=0.35, SOPs (M)=0.092026.04 | 1.6 | — | — | — | — | — | — | — | — | — | — | — | |
| rTsfNetParams (M)=0.11, FLOPs (M)=0.352026.04 | 1.62 | — | — | — | — | — | — | — | — | — | — | — | |
| SpikeGRUParams (M)=0.06, FLOPs (M)=11.66, SOPs (M)=3.122026.04 | 1.9 | — | — | — | — | — | — | — | — | — | — | — | |
| PAS-NetParams (M)=0.26, FLOPs (M)=40.28, SOPs (M)=4.532026.04 | 2.57 | — | — | — | — | — | — | — | — | — | — | — | |
| QKFormerIMUParams (M)=0.09, FLOPs (M)=54.76, SOPs (M)=16.192026.04 | 2.68 | — | — | — | — | — | — | — | — | — | — | — | |
| LMU-FormerParams (M)=0.54, FLOPs (M)=325.80, SOPs (M)=40.452026.04 | 6.17 | — | — | — | — | — | — | — | — | — | — | — | |
| SpikformerParams (M)=0.27, FLOPs (M)=162.40, SOPs (M)=46.422026.04 | 6.76 | — | — | — | — | — | — | — | — | — | — | — | |
| SpikeRNNParams (M)=0.01, FLOPs (M)=2.19, SOPs (M)=0.402026.04 | 10.11 | — | — | — | — | — | — | — | — | — | — | — | |
| SpikeDrivenTransformerV2Params (M)=0.54, FLOPs (M)=329.20, SOPs (M)=90.212026.04 | 11.14 | — | — | — | — | — | — | — | — | — | — | — | |
| SpikeDrivenTransformerParams (M)=2.12, FLOPs (M)=1278.00, SOPs (M)=190.002026.04 | 23.24 | — | — | — | — | — | — | — | — | — | — | — | |
| STAttenParams (M)=2.12, FLOPs (M)=1278.00, SOPs (M)=201.602026.04 | 24.4 | — | — | — | — | — | — | — | — | — | — | — | |
| MCHCNN-GRUParams (M)=0.21, FLOPs (M)=13.202026.04 | 64.7 | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-SEParams (M)=0.82, FLOPs (M)=18.012026.04 | 88.24 | — | — | — | — | — | — | — | — | — | — | — | |
| DeepConvLSTMParams (M)=0.30, FLOPs (M)=19.312026.04 | 94.62 | — | — | — | — | — | — | — | — | — | — | — | |
| SPECTRAPrecision=INT82026.03 | 116.142 | 4.322 | 231.4 | 8.4 | 3.29 | 0.672 | — | — | — | — | — | — | |
| IFConvTransformerParams (M)=0.86, FLOPs (M)=29.732026.04 | 145.7 | — | — | — | — | — | — | — | — | — | — | — | |
| SPECTRAPrecision=FP322026.03 | 193.57 | 5.763 | 173.6 | 23.99 | 3.29 | 1.12 | — | — | — | — | — | — | |
| Uni-HARParams (M)=0.84, FLOPs (M)=53.772026.04 | 263.4 | — | — | — | — | — | — | — | — | — | — | — | |
| Self-HARParams (M)=0.84, FLOPs (M)=53.792026.04 | 263.6 | — | — | — | — | — | — | — | — | — | — | — | |
| TinyHAR2026.03 | 435,541.016 | 28.216 | 35.5 | 124.44 | 143.56 | 2,517.7 | — | — | — | — | — | — | |
| SPECTRAPrecision=INT82026.03 | 1,017,200 | 1.5 | 649.4 | — | — | 5,900 | — | — | — | 58 | — | — | |
| SPECTRAPrecision=FP162026.03 | 1,235,200 | 1.9 | 534.8 | — | — | 7,100 | — | — | — | 65.2 | — | — | |
| SPECTRAPrecision=FP322026.03 | 1,453,200 | 2.2 | 454.5 | — | — | 8,400 | — | — | — | 72.5 | — | — | |
| TinierHAR2026.03 | 2,041,400 | 3.4 | 294.1 | — | — | 11,800 | — | — | — | 145 | — | — | |
| TinyHAR2026.03 | 11,971,600 | 30.5 | 32.8 | — | — | 69,200 | — | — | — | 326.3 | — | — | |
| DConvLSTM2026.03 | 35,465,000 | 95 | 10.5 | — | — | 205,000 | — | — | — | 2,435.1 | — | — | |
| DeepConvLSTM2026.03 | — | — | — | 2,231.67 | 773.14 | — | — | — | — | — | — | — | |
| DeepConvLSTM2026.03 | — | 93.39 | 10.7 | — | — | — | 72.6 | 719,948 | 96,631,308 | 571.6 | 1,541.9 | 0.0602 | |
| SPECTRAPrecision=FP322026.03 | — | 0.72 | 485.4 | — | — | — | 75 | 13,890 | 235,539 | 72.4 | 37.7 | 0.0015 | |
| SPECTRAPrecision=FP162026.03 | — | 0.23 | 1,502.5 | — | — | — | 73.6 | 13,890 | 235,539 | 17.7 | 0.867 | 0.0001 | |
| SPECTRAPrecision=INT82026.03 | — | 0.32 | 1,086.1 | — | — | — | 72 | 13,890 | 235,539 | 17.7 | 0.917 | 0.0001 | |
| TinierHAR2026.03 | — | 3.13 | 319.5 | — | — | — | 75.6 | 16,699 | 1,589,718 | 85.4 | 91.7 | 0.0036 | |
| TinyHAR2026.03 | — | 29.03 | 34.5 | — | — | — | 73.7 | 37,274 | 10,174,272 | 246.3 | 437.6 | 0.0171 |