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Benchmarks
Image Classification on CIFAR-100 (test) (Accuracy and Efficiency Profile)
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77.22
Accuracy
ANN
45.8432
53.9891
62.135
70.2809
Aug 20, 2025
Accuracy
FLOPs (M)
SOPs (M)
Energy (µJ)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
FLOPs (M)
SOPs (M)
Energy (µJ)
ANN
Backbone=VGG-16
2025.08
77.22
332.07
0
1,527.2
PMSM
T=1, Backbone=VGG-16
2025.08
76.71
1.77
6.5
13.99
PMSM
T=2, Backbone=VGG-16
2025.08
76.71
3.54
13.04
28.02
QA
T=2, Backbone=VGG-16
2025.08
57.56
3.54
62.97
72.96
QA
T=1, Backbone=VGG-16
2025.08
47.05
1.77
27.93
33.28
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