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Benchmarks
Sequential Image Classification on psMNIST (test)
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97.8
Accuracy
LRU
77.416
82.708
88
93.292
Jan 29, 2026
Accuracy
Training Time (min)
Emissions (kg)
Energy (kWh)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Training Time (min)
Emissions (kg)
Energy (kWh)
LRU
Params.=≈ 160k
2026.01
97.8
33.8
0.21
0.63
TRANSFORMER
Params.=≈ 160k
2026.01
97.4
156.8
0.65
1.98
PARALESN
Params.=≈ 160k
2026.01
96.9
2.8
0.01
0.04
PARALESN (DEEP)
Params.=≈ 160k
2026.01
95.2
3.1
0.02
0.05
LSTM
Params.=≈ 160k
2026.01
92.8
89.3
0.47
1.41
MAMBA
Params.=≈ 200k
2026.01
92.6
43.25
0.24
0.73
ESN (DEEP)
Params.=≈ 160k
2026.01
82.1
7.3
0.04
0.11
ESN
Params.=≈ 160k
2026.01
78.2
4.3
0.02
0.06
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