Image Classification on ImageNet 1k (val) (Top-1 Accuracy, Robustness, and Runtime Efficiency) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet 1k (val) (Top-1 Accuracy, Robustness, and Runtime Efficiency)

77.42Top-1 AccuracyDenseNet-201

Evaluation Results

Method	Links
DenseNet-2012026.01		77.42	6,400	18,636	648	1,461.8	447.22	505.45	24	578
ResNet-1012026.01		77.37	2,848	46,548	1,186	1,107.8	540.09	596.33	14	698
StriaNet-L42026.01		77.24	4,768	10,716	439	1,384.8	240.14	311.16	17	311
StriaNet-L32026.01		76.33	2,240	5,060	213	677.2	118.53	154.06	15	155
DenseNet-1692026.01		76.2	5,888	16,156	565	1,236.8	397.07	447.19	25	521
ResNet-502026.01		76.13	1,760	21,252	594	722.9	268.76	305.06	13	353
StriaNet-L22026.01		76.02	1,664	3,572	159	517.9	87.68	115.19	15	115
DenseNet-1212026.01		74.98	5,504	10,852	478	1,034.1	302.92	345.74	33	404
MobileNet(1.4)2026.01		74.7	4,248	4,546	108	655.8	122.88	157.91	24	164
MobileNet(1.3)2026.01		74.4	3,912	4,344	92	604.3	113.23	145.53	25	152
VGG-192026.01		74.22	11,968	4,704	2,668	858.7	857.35	905.3	43	1,155
VGG-162026.01		73.36	11,584	3,216	2,447	834.2	693.08	739.79	47	945
ResNet-342026.01		73.31	3,408	7,112	581	219.4	245.61	256.75	12	335
StriaNet-L12026.01		72.79	1,024	2,312	106	333.1	58.64	76.84	15	80
MobileNet(1.0)2026.01		72	2,925	3,556	54	448.4	86.31	110.06	29	120
VGG-132026.01		71.59	9,920	2,144	1,783	728	528.81	570.17	56	739
VGG-112026.01		70.37	3,776	2,144	1,193	335.9	311.43	333.05	34	443
MobileNet(.75)2026.01		69.8	2,628	2,498	38	402.2	64.48	85.84	42	92
ResNet-182026.01		69.76	1,808	3,600	286	117.3	125.53	131.53	11	180