Image Classification on Tiny ImageNet (Acc, F1)
45AccuracySNN-SqueezeNet-P
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SNN-SqueezeNet-PAC (k/M)=51970, MAC (k/M)=16920, Params (k/M)=696.6, Energy (mJ)=0.12462026.02 | 45 | 44 | |
| SNN-SqueezeNetAC (k/M)=80094, MAC (k/M)=17880, Params (k/M)=833.9, Energy (mJ)=0.15432026.02 | 41 | 40 | |
| SNN-MnasNetAC (k/M)=12040, MAC (k/M)=51690, Params (k/M)=176.4, Energy (mJ)=0.24862026.02 | 38 | 37 | |
| SNN-MixNetAC (k/M)=2000, MAC (k/M)=203.0, Params (k/M)=133.7, Energy (mJ)=0.00932026.02 | 34 | 33 | |
| SNN-XceptionAC (k/M)=6440, MAC (k/M)=385630, Params (k/M)=10460.0, Energy (mJ)=1.77972026.02 | 23 | 21 | |
| SNN-ShuffleNetV2AC (k/M)=642, MAC (k/M)=3780, Params (k/M)=1110.0, Energy (mJ)=0.01802026.02 | 11 | 9 |