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Benchmarks
Image Classification on MNIST (test) (Accuracy and Time)
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99.6
Accuracy
LQA
99.1944
99.2997
99.405
99.5103
Jan 21, 2026
Accuracy
Inference Time (min)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Inference Time (min)
LQA
Backbone=EfficientNet
2026.01
99.6
58
DAdapt
Backbone=EfficientNet
2026.01
99.58
6.25
ZENITH
Backbone=EfficientNet
2026.01
99.57
4.39
COCOB
Backbone=EfficientNet
2026.01
99.56
4.05
Prodigy
Backbone=EfficientNet
2026.01
99.55
4.59
PAL
Backbone=EfficientNet
2026.01
99.51
13.1
DoG
Backbone=EfficientNet
2026.01
99.5
14
ALIG
Backbone=EfficientNet
2026.01
99.48
10.8
L4
Backbone=EfficientNet
2026.01
99.45
7.79
DoWG
Backbone=EfficientNet
2026.01
99.41
3.13
SPS
Backbone=EfficientNet
2026.01
99.39
5.45
GeN
Backbone=EfficientNet
2026.01
99.21
2.24
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