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Image Classification on ImageNet-1K (Top-1 Accuracy & OOD Robustness)

85Top-1 AccuracyH2(ViT-H/14)
83.9684.2384.584.77May 21, 2025

Evaluation results

MethodLinks
H2(ViT-H/14)params=474.2, throughput=640, bf16 FLOPs=127.4, Peak Mem.=27342025.0585-13.4
H8(ViT-H/14)params=355.8, throughput=660, bf16 FLOPs=102.3, Peak Mem.=22232025.0585-13.4
I8(ViT-H/14)params=362.3, throughput=657, bf16 FLOPs=104.0, Peak Mem.=22492025.0584.70
ViT-H/14params=632.1, throughput=569, bf16 FLOPs=167.8, Peak Mem.=32852025.0584.6-12.6
H2(ViT-L/16)params=228.3, throughput=1610, bf16 FLOPs=46.9, Peak Mem.=14582025.0584.5-13.9
H8(ViT-L/16)params=171.3, throughput=1615, bf16 FLOPs=37.7, Peak Mem.=11942025.0584.5-13.6
ViT-L/16params=304.4, throughput=1421, bf16 FLOPs=61.9, Peak Mem.=15572025.0584.2-13.4
I8(ViT-L/16)params=175.5, throughput=1618, bf16 FLOPs=38.5, Peak Mem.=12102025.05840