Electromyography classification on EMG
0.86Energy per Inference (mJ)Loihi 2 (SNN)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Loihi 2 (SNN)Hardware=Loihi 2, Model Architecture=SNN2026.04 | 0.86 | 20 | — | |
| SpiNNaker 2 (SNN)Hardware=SpiNNaker 2, Model Architecture=SNN2026.04 | 0.956 | 18 | — | |
| EdgeSpikeHardware=Cortex-M4, Model Type=Sparse2026.04 | 2.69 | 6.4 | 28.4 | |
| CNNHardware=Cortex-M4, Precision=INT8, Model Type=Dense2026.04 | 17.2 | — | — | |
| CNN (Cortex-M4, INT8)Hardware=Cortex-M4, Model Architecture=CNN, Data Precision=INT82026.04 | 17.2 | — | — |