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Image Classification on ImageNet (val) (Accuracy and Throughput)

84.5Accuracy (%)ResNeSt-269
66.019270.817175.61580.4129Apr 19, 2020Apr 7, 2021Mar 27, 2022Mar 16, 2023Mar 4, 2024Feb 21, 2025Feb 10, 2026

Evaluation results

MethodLinks
ResNeSt-269Parameters=111M, Crop Size=416, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0484.551.2
EfficientNet-B7Parameters=66M, Crop Size=600, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0484.434.9
GPipeParameters=557M, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0484.3—
SigLIP 2Zero-shot=true2026.0284.1—
ResNeSt-200Parameters=70M, Crop Size=320, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0483.9105.3
EfficientNet-B5Parameters=30M, Crop Size=456, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0483.784.3
AmoebaNet-CParameters=155M, Crop Size=299, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0483.5—
EVA-CLIP-8BZero-shot=true2026.0283.5—
SigLIPZero-shot=true2026.0283.2—
ResNeSt-101Parameters=48M, Crop Size=256, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0483291.3
EfficientNet-B4Parameters=19M, Crop Size=380, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0483149.3
AmoebaNet-AParameters=87M, Crop Size=299, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0482.8—
SENet-154Parameters=146M, Crop Size=320, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0482.7133.8
NASNet-AParameters=89M, Crop Size=331, Hardware=NVIDIA V100 GPU, mini-batch size=162020.0482.7103.3
DINOv3Zero-shot=true2026.0282.3—
VersaViT*Zero-shot=true, Alignment=30M image-text pairs2026.0275.6—
CLIP-LZero-shot=true2026.0275.5—
CoOpmode=Few-shot adaptation2025.1271.51—
RMAdaptermode=Few-shot adaptation2025.1271.37—
PromptSRCmode=Few-shot adaptation2025.1271.27—
KgCoOpmode=Few-shot adaptation2025.1271.2—
Co-CoOpmode=Few-shot adaptation2025.1271.02—
MMAmode=Few-shot adaptation2025.1271—
CoPromptmode=Few-shot adaptation2025.1270.8—
MaPLemode=Few-shot adaptation2025.1270.72—
VersaViTZero-shot=true, Alignment=30M image-text pairs2026.0267.9—
CLIPmode=Zero-shot2025.1266.73—