Machinery Fault Detection on MFD
0.361Energy per Inference (mJ)Loihi 2 (SNN)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Loihi 2 (SNN)Hardware=Loihi 2, Model Architecture=SNN2026.04 | 0.361 | 38 | — | |
| SpiNNaker 2 (SNN)Hardware=SpiNNaker 2, Model Architecture=SNN2026.04 | 0.442 | 31 | — | |
| EdgeSpikeHardware=Cortex-M4, Model Type=Sparse2026.04 | 1.96 | 7 | 22.3 | |
| CNNHardware=Cortex-M4, Precision=INT8, Model Type=Dense2026.04 | 13.7 | — | — | |
| CNN (Cortex-M4, INT8)Hardware=Cortex-M4, Model Architecture=CNN, Data Precision=INT82026.04 | 13.7 | — | — |