# Image Classification on ImageNet-1K Regular (val)

Source: [Image Classification on ImageNet-1K Regular (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-regular-val>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:07:10.803Z

Evaluation of Image Classification performance on the regular validation split of ImageNet-1K, reporting Top-1 Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Image Classification |
| Dataset (including any stated split) | ImageNet-1K Regular (val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-1k-regular-val.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Swin-B | 0.845 | Not recorded | 68fa6a8c1e209131cea28b62 |
| EffNet-B7 | 0.843 | Not recorded | 68fa6a8c1e209131cea28b62 |
| EffNet-B6 | 0.84 | Not recorded | 68fa6a8c1e209131cea28b62 |
| EffNet-B5 | 0.836 | Not recorded | 68fa6a8c1e209131cea28b62 |
| Swin-B | 0.835 | Not recorded | 68fa6a8c1e209131cea28b62 |
| DeiT-B | 0.831 | Not recorded | 68fa6a8c1e209131cea28b62 |
| Swin-S | 0.83 | Not recorded | 68fa6a8c1e209131cea28b62 |
| RegNetY-16G | 0.829 | Not recorded | 68fa6a8c1e209131cea28b62 |
| EffNet-B4 | 0.829 | Not recorded | 68fa6a8c1e209131cea28b62 |
| DeiT-B | 0.818 | Not recorded | 68fa6a8c1e209131cea28b62 |
| RegNetY-8G | 0.817 | Not recorded | 68fa6a8c1e209131cea28b62 |
| EffNet-B3 | 0.816 | Not recorded | 68fa6a8c1e209131cea28b62 |
| Swin-T | 0.813 | Not recorded | 68fa6a8c1e209131cea28b62 |
| RegNetY-4G | 0.8 | Not recorded | 68fa6a8c1e209131cea28b62 |
| DeiT-S | 0.798 | Not recorded | 68fa6a8c1e209131cea28b62 |
| ViT-B/16 | 0.779 | Not recorded | 68fa6a8c1e209131cea28b62 |
| ViT-L/16 | 0.765 | Not recorded | 68fa6a8c1e209131cea28b62 |

### Swin-B

Top-1 Accuracy: 0.845. Result ID: 699ab8035698665ec445f3ca.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"image size":"384x384","#param.":"88M","FLOPs":"47.0G","throughput (image/s)":"84.7"}. This record does not assert independent reproduction.

### EffNet-B7

Top-1 Accuracy: 0.843. Result ID: 699ab8035698665ec445f3c1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"image size":"600x600","#param.":"66M","FLOPs":"37.0G","throughput (image/s)":"55.1"}. This record does not assert independent reproduction.

### EffNet-B6

Top-1 Accuracy: 0.84. Result ID: 699ab8035698665ec445f3c0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"image size":"528x528","#param.":"43M","FLOPs":"19.0G","throughput (image/s)":"96.9"}. This record does not assert independent reproduction.

### EffNet-B5

Top-1 Accuracy: 0.836. Result ID: 699ab8035698665ec445f3bf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"image size":"456x456","#param.":"30M","FLOPs":"9.9G","throughput (image/s)":"169.1"}. This record does not assert independent reproduction.

### Swin-B

Top-1 Accuracy: 0.835. Result ID: 699ab8035698665ec445f3c9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"88M","FLOPs":"15.4G","throughput (image/s)":"278.1"}. This record does not assert independent reproduction.

### DeiT-B

Top-1 Accuracy: 0.831. Result ID: 699ab8035698665ec445f3c6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69181e209131cea202b4.md>)

[Implementation](<https://github.com/facebookresearch/deit>)

Recorded evaluation configuration: {"image size":"384x384","#param.":"86M","FLOPs":"55.4G","throughput (image/s)":"85.9"}. This record does not assert independent reproduction.

### Swin-S

Top-1 Accuracy: 0.83. Result ID: 699ab8035698665ec445f3c8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"50M","FLOPs":"8.7G","throughput (image/s)":"436.9"}. This record does not assert independent reproduction.

### RegNetY-16G

Top-1 Accuracy: 0.829. Result ID: 699ab8035698665ec445f3bc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673e1e209131cea15251.md>)

[Implementation](<https://github.com/facebookresearch/pycls>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"84M","FLOPs":"16.0G","throughput (image/s)":"334.7"}. This record does not assert independent reproduction.

### EffNet-B4

Top-1 Accuracy: 0.829. Result ID: 699ab8035698665ec445f3be.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"image size":"380x380","#param.":"19M","FLOPs":"4.2G","throughput (image/s)":"349.4"}. This record does not assert independent reproduction.

### DeiT-B

Top-1 Accuracy: 0.818. Result ID: 699ab8035698665ec445f3c5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69181e209131cea202b4.md>)

[Implementation](<https://github.com/facebookresearch/deit>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"86M","FLOPs":"17.5G","throughput (image/s)":"292.3"}. This record does not assert independent reproduction.

### RegNetY-8G

Top-1 Accuracy: 0.817. Result ID: 699ab8035698665ec445f3bb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673e1e209131cea15251.md>)

[Implementation](<https://github.com/facebookresearch/pycls>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"39M","FLOPs":"8.0G","throughput (image/s)":"591.6"}. This record does not assert independent reproduction.

### EffNet-B3

Top-1 Accuracy: 0.816. Result ID: 699ab8035698665ec445f3bd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa684f1e209131cea1b521.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"image size":"300x300","#param.":"12M","FLOPs":"1.8G","throughput (image/s)":"732.1"}. This record does not assert independent reproduction.

### Swin-T

Top-1 Accuracy: 0.813. Result ID: 699ab8035698665ec445f3c7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"29M","FLOPs":"4.5G","throughput (image/s)":"755.2"}. This record does not assert independent reproduction.

### RegNetY-4G

Top-1 Accuracy: 0.8. Result ID: 699ab8035698665ec445f3ba.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673e1e209131cea15251.md>)

[Implementation](<https://github.com/facebookresearch/pycls>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"21M","FLOPs":"4.0G","throughput (image/s)":"1156.7"}. This record does not assert independent reproduction.

### DeiT-S

Top-1 Accuracy: 0.798. Result ID: 699ab8035698665ec445f3c4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69181e209131cea202b4.md>)

[Implementation](<https://github.com/facebookresearch/deit>)

Recorded evaluation configuration: {"image size":"224x224","#param.":"22M","FLOPs":"4.6G","throughput (image/s)":"940.4"}. This record does not assert independent reproduction.

### ViT-B/16

Top-1 Accuracy: 0.779. Result ID: 699ab8035698665ec445f3c2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0b1e209131cea25b04.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: {"image size":"384x384","#param.":"86M","FLOPs":"55.4G","throughput (image/s)":"85.9"}. This record does not assert independent reproduction.

### ViT-L/16

Top-1 Accuracy: 0.765. Result ID: 699ab8035698665ec445f3c3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0b1e209131cea25b04.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: {"image size":"384x384","#param.":"307M","FLOPs":"190.7G","throughput (image/s)":"27.3"}. This record does not assert independent reproduction.

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