Image Classification on CIFAR10 (test) (Accuracy, Resource Usage, and Convergence) benchmark leaderboard · SOTA2 Research

Image Classification on CIFAR10 (test) (Accuracy, Resource Usage, and Convergence)

75.97AccuracyCosine

Evaluation Results

Method	Links
Cosine2026.04		75.97	7.59	870
INT82026.04		75.76	3.03	900
INT162026.04		75.74	6.07	900
Dynamic2026.04		75.66	6.86	900
FP322026.04		75.46	12.13	990
FP322026.04		73.11	24.27	970
INT82026.04		72.7	6.07	970
INT162026.04		72.67	12.13	970
Dynamic2026.04		72.5	13.68	640
Cosine2026.04		72.34	15.18	970
INT82026.04		65.24	12.13	790
Cosine2026.04		65.19	30.35	760
INT162026.04		64.85	24.27	510
Dynamic2026.04		64.35	27.13	890
FP322026.04		63.23	48.53	900
Cosine2026.04		59.54	151.76	920
Dynamic2026.04		59.51	133.32	930
INT162026.04		59.49	121.34	999
FP322026.04		59.35	242.67	920
INT82026.04		59.33	60.67	999
INT42026.04		50.56	1.52	340
INT42026.04		46.31	3.03	140
INT42026.04		41.74	6.07	50
INT42026.04		34.41	30.33	240