# Image Classification on CIFAR-10 (Standard Top-1 Accuracy)

Source: [Image Classification on CIFAR-10 (Standard Top-1 Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-standard-top-1-accuracy>)

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

Data updated: 2026-03-31T07:33:39.431Z

Evaluation of standard Image Classification performance on CIFAR-10, reporting primary 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) | CIFAR-10 |
| 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-cifar-10-standard-top-1-accuracy.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ResNet-18 | 14.07 | Not recorded | 69cb551b0636e5bf4afc9f29 |
| Learnable PE | 13.68 | Not recorded | 69cb551b0636e5bf4afc9f29 |
| RoPE | 12.51 | Not recorded | 69cb551b0636e5bf4afc9f29 |
| No PE | 10.14 | Not recorded | 69cb551b0636e5bf4afc9f29 |

### ResNet-18

Top-1 Accuracy: 14.07. Result ID: 69cb78cc47f34ce924b36fe0.

[Reporting paper](<https://www.sota2.com/research/paper/69cb551b0636e5bf4afc9f29.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction.

### Learnable PE

Top-1 Accuracy: 13.68. Result ID: 69cb78cc47f34ce924b36fe2.

[Reporting paper](<https://www.sota2.com/research/paper/69cb551b0636e5bf4afc9f29.md>)

Recorded evaluation configuration: {"Positional Encoding":"Learnable"}. This record does not assert independent reproduction.

### RoPE

Top-1 Accuracy: 12.51. Result ID: 69cb78cc47f34ce924b36fe3.

[Reporting paper](<https://www.sota2.com/research/paper/69cb551b0636e5bf4afc9f29.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69cb551b0636e5bf4afc9f29.md>)

Recorded evaluation configuration: {"Positional Encoding":"RoPE"}. This record does not assert independent reproduction.

### No PE

Top-1 Accuracy: 10.14. Result ID: 69cb78cc47f34ce924b36fe1.

[Reporting paper](<https://www.sota2.com/research/paper/69cb551b0636e5bf4afc9f29.md>)

Recorded evaluation configuration: {"Positional Encoding":"None"}. This record does not assert independent reproduction.

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