# Image Classification on ImageNet (test) (Standard Top-1 Accuracy)

Source: [Image Classification on ImageNet (test) (Standard Top-1 Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-test-standard-top-1-accuracy>)

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

Data updated: 2026-05-29T10:13:47.186Z

Standard evaluation of Image Classification performance on the test split of ImageNet, 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 (test) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-test-standard-top-1-accuracy.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ViT-S/16 + ED | 75.01 | Not recorded | 6a191dd6dbd7150506f82af7 |
| ViT-S/16 | 74.42 | Not recorded | 6a191dd6dbd7150506f82af7 |
| ViT-S/16 + ED | 72.76 | Not recorded | 6a191dd6dbd7150506f82af7 |
| ViT-S/16 | 71.37 | Not recorded | 6a191dd6dbd7150506f82af7 |

### ViT-S/16 + ED

Top-1 Accuracy: 75.01. Result ID: 6a1966befbc373592c144f21.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

Recorded evaluation configuration: {"Training Recipe":"strong recipe"}. This record does not assert independent reproduction.

### ViT-S/16

Top-1 Accuracy: 74.42. Result ID: 6a1966befbc373592c144f20.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

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

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

Recorded evaluation configuration: {"Training Recipe":"strong recipe"}. This record does not assert independent reproduction.

### ViT-S/16 + ED

Top-1 Accuracy: 72.76. Result ID: 6a1966befbc373592c144f1f.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

Recorded evaluation configuration: {"Training Recipe":"original recipe"}. This record does not assert independent reproduction.

### ViT-S/16

Top-1 Accuracy: 71.37. Result ID: 6a1966befbc373592c144f1e.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dd6dbd7150506f82af7.md>)

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

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

Recorded evaluation configuration: {"Training Recipe":"original recipe"}. This record does not assert independent reproduction.

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