# Image Classification on ImageNet V2 1.0 (val)

Source: [Image Classification on ImageNet V2 1.0 (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-v2-1-0-val>)

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

Data updated: 2026-02-26T06:06:58.524Z

Evaluation of Image Classification performance on the validation split of the ImageNet V2 dataset (version 1.0), measured using 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 V2 1.0 (val) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 29 of 29 |
| 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-v2-1-0-val.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ViT-L↑384 (DeiT III) | 76.7 | Not recorded | 68fa6c591e209131cea3378d |
| EfficientNetV2-L | 76.3 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-H (DeiT III) | 75.9 | Not recorded | 68fa6c591e209131cea3378d |
| EfficientNetV2-M | 75.5 | Not recorded | 68fa6c591e209131cea3378d |
| ConvNeXt-L-384 | 75.3 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-L (DeiT III) | 75.1 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-B↑384 (DeiT III) | 74.8 | Not recorded | 68fa6c591e209131cea3378d |
| ConvNeXt-B-384 | 74.7 | Not recorded | 68fa6c591e209131cea3378d |
| EfficientNetV2-S | 74 | Not recorded | 68fa6c591e209131cea3378d |
| ConvNeXt-L-224 | 74 | Not recorded | 68fa6c591e209131cea3378d |
| PatchConvNet-B120-224 | 73.9 | Not recorded | 68fa6c591e209131cea3378d |
| EfficientNet-B5 | 73.6 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-B (DeiT III) | 73.6 | Not recorded | 68fa6c591e209131cea3378d |
| ConvNeXt-B-224 | 73.4 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-S↑384 (DeiT III) | 73.1 | Not recorded | 68fa6c591e209131cea3378d |
| PatchConvNet-B60-224 | 72.6 | Not recorded | 68fa6c591e209131cea3378d |
| RegNetY-16GF | 72.4 | Not recorded | 68fa6c591e209131cea3378d |
| EfficientNet-B4 | 72.3 | Not recorded | 68fa6c591e209131cea3378d |
| Swin-S-224 | 71.8 | Not recorded | 68fa6c591e209131cea3378d |
| RegNetY-8GF | 71.1 | Not recorded | 68fa6c591e209131cea3378d |
| PatchConvNet-S60-224 | 71 | Not recorded | 68fa6c591e209131cea3378d |
| RegNetY-4GF | 70.7 | Not recorded | 68fa6c591e209131cea3378d |
| ResNet-152 | 70.6 | Not recorded | 68fa6c591e209131cea3378d |
| ViT-S (DeiT III) | 70.5 | Not recorded | 68fa6c591e209131cea3378d |
| ResNet-101 | 70.3 | Not recorded | 68fa6c591e209131cea3378d |
| Swin-T-224 | 69.5 | Not recorded | 68fa6c591e209131cea3378d |
| ResMLP-B24 | 69 | Not recorded | 68fa6c591e209131cea3378d |
| ResNet-50 | 68.7 | Not recorded | 68fa6c591e209131cea3378d |
| Mixer-B/16 | 63.2 | Not recorded | 68fa6c591e209131cea3378d |

### ViT-L↑384 (DeiT III)

Top-1 Accuracy: 76.7. Result ID: 698f07893a6c314849f50a71.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"304.8M","FLOPs":"191.2G","Resolution":"384"}. This record does not assert independent reproduction.

### EfficientNetV2-L

Top-1 Accuracy: 76.3. Result ID: 698f07893a6c314849f50a60.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26b39.md>)

[Implementation](<https://github.com/google/automl/tree/master/efficientnetv2>)

Recorded evaluation configuration: {"nb params":"118.5M","FLOPs":"53.0G"}. This record does not assert independent reproduction.

### ViT-H (DeiT III)

Top-1 Accuracy: 75.9. Result ID: 698f07893a6c314849f50a72.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"632.1M","FLOPs":"167.4G"}. This record does not assert independent reproduction.

### EfficientNetV2-M

Top-1 Accuracy: 75.5. Result ID: 698f07893a6c314849f50a5f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26b39.md>)

[Implementation](<https://github.com/google/automl/tree/master/efficientnetv2>)

Recorded evaluation configuration: {"nb params":"54.1M","FLOPs":"25.0G"}. This record does not assert independent reproduction.

### ConvNeXt-L-384

Top-1 Accuracy: 75.3. Result ID: 698f07893a6c314849f50a6b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf21e209131cea31132.md>)

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

Recorded evaluation configuration: {"nb params":"197.8M","FLOPs":"101.0G"}. This record does not assert independent reproduction.

### ViT-L (DeiT III)

Top-1 Accuracy: 75.1. Result ID: 698f07893a6c314849f50a70.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"304.4M","FLOPs":"61.6G","Resolution":"224"}. This record does not assert independent reproduction.

### ViT-B↑384 (DeiT III)

Top-1 Accuracy: 74.8. Result ID: 698f07893a6c314849f50a6f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"86.9M","FLOPs":"55.5G","Resolution":"384"}. This record does not assert independent reproduction.

### ConvNeXt-B-384

Top-1 Accuracy: 74.7. Result ID: 698f07893a6c314849f50a69.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf21e209131cea31132.md>)

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

Recorded evaluation configuration: {"nb params":"88.6M","FLOPs":"45.0G"}. This record does not assert independent reproduction.

### EfficientNetV2-S

Top-1 Accuracy: 74. Result ID: 698f07893a6c314849f50a5e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a381e209131cea26b39.md>)

[Implementation](<https://github.com/google/automl/tree/master/efficientnetv2>)

Recorded evaluation configuration: {"nb params":"21.5M","FLOPs":"8.5G"}. This record does not assert independent reproduction.

### ConvNeXt-L-224

Top-1 Accuracy: 74. Result ID: 698f07893a6c314849f50a6a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf21e209131cea31132.md>)

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

Recorded evaluation configuration: {"nb params":"197.8M","FLOPs":"34.4G"}. This record does not assert independent reproduction.

### PatchConvNet-B120-224

Top-1 Accuracy: 73.9. Result ID: 698f07893a6c314849f50a67.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7c1e209131cea2e7e1.md>)

Recorded evaluation configuration: {"nb params":"188.6M","FLOPs":"29.9G"}. This record does not assert independent reproduction.

### EfficientNet-B5

Top-1 Accuracy: 73.6. Result ID: 698f07893a6c314849f50a5d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.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: {"nb params":"30.0M","FLOPs":"9.9G"}. This record does not assert independent reproduction.

### ViT-B (DeiT III)

Top-1 Accuracy: 73.6. Result ID: 698f07893a6c314849f50a6e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"86.6M","FLOPs":"17.5G","Resolution":"224"}. This record does not assert independent reproduction.

### ConvNeXt-B-224

Top-1 Accuracy: 73.4. Result ID: 698f07893a6c314849f50a68.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf21e209131cea31132.md>)

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

Recorded evaluation configuration: {"nb params":"88.6M","FLOPs":"15.4G"}. This record does not assert independent reproduction.

### ViT-S↑384 (DeiT III)

Top-1 Accuracy: 73.1. Result ID: 698f07893a6c314849f50a6d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"22.0M","FLOPs":"15.5G","Resolution":"384"}. This record does not assert independent reproduction.

### PatchConvNet-B60-224

Top-1 Accuracy: 72.6. Result ID: 698f07893a6c314849f50a66.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7c1e209131cea2e7e1.md>)

Recorded evaluation configuration: {"nb params":"99.4M","FLOPs":"15.8G"}. This record does not assert independent reproduction.

### RegNetY-16GF

Top-1 Accuracy: 72.4. Result ID: 698f07893a6c314849f50a5b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

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

Recorded evaluation configuration: {"nb params":"83.6M","FLOPs":"16.0G"}. This record does not assert independent reproduction.

### EfficientNet-B4

Top-1 Accuracy: 72.3. Result ID: 698f07893a6c314849f50a5c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.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: {"nb params":"19.0M","FLOPs":"4.2G"}. This record does not assert independent reproduction.

### Swin-S-224

Top-1 Accuracy: 71.8. Result ID: 698f07893a6c314849f50a62.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

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

Recorded evaluation configuration: {"nb params":"49.6M","FLOPs":"8.7G"}. This record does not assert independent reproduction.

### RegNetY-8GF

Top-1 Accuracy: 71.1. Result ID: 698f07893a6c314849f50a5a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

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

Recorded evaluation configuration: {"nb params":"39.2M","FLOPs":"8.0G"}. This record does not assert independent reproduction.

### PatchConvNet-S60-224

Top-1 Accuracy: 71. Result ID: 698f07893a6c314849f50a65.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b7c1e209131cea2e7e1.md>)

Recorded evaluation configuration: {"nb params":"25.2M","FLOPs":"4.0G"}. This record does not assert independent reproduction.

### RegNetY-4GF

Top-1 Accuracy: 70.7. Result ID: 698f07893a6c314849f50a59.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

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

Recorded evaluation configuration: {"nb params":"20.6M","FLOPs":"4.0G"}. This record does not assert independent reproduction.

### ResNet-152

Top-1 Accuracy: 70.6. Result ID: 698f07893a6c314849f50a58.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68251e209131cea1a42f.md>)

Recorded evaluation configuration: {"nb params":"60.2M","FLOPs":"11.6G"}. This record does not assert independent reproduction.

### ViT-S (DeiT III)

Top-1 Accuracy: 70.5. Result ID: 698f07893a6c314849f50a6c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

Recorded evaluation configuration: {"nb params":"22.0M","FLOPs":"4.6G","Resolution":"224"}. This record does not assert independent reproduction.

### ResNet-101

Top-1 Accuracy: 70.3. Result ID: 698f07893a6c314849f50a57.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

Recorded evaluation configuration: {"nb params":"44.5M","FLOPs":"7.9G"}. This record does not assert independent reproduction.

### Swin-T-224

Top-1 Accuracy: 69.5. Result ID: 698f07893a6c314849f50a61.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

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

Recorded evaluation configuration: {"nb params":"28.3M","FLOPs":"4.5G"}. This record does not assert independent reproduction.

### ResMLP-B24

Top-1 Accuracy: 69. Result ID: 698f07893a6c314849f50a64.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea260f7.md>)

Recorded evaluation configuration: {"nb params":"116.0M","FLOPs":"23.0G"}. This record does not assert independent reproduction.

### ResNet-50

Top-1 Accuracy: 68.7. Result ID: 698f07893a6c314849f50a56.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

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

Recorded evaluation configuration: {"nb params":"25.6M","FLOPs":"4.1G"}. This record does not assert independent reproduction.

### Mixer-B/16

Top-1 Accuracy: 63.2. Result ID: 698f07893a6c314849f50a63.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6c591e209131cea3378d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a201e209131cea26207.md>)

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

Recorded evaluation configuration: {"nb params":"59.9M","FLOPs":"12.6G"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
