We evaluated XinYuan-VL-2B using the VLMEvalKit toolkit across the following benchmarks and found that XinYuan-VL-2B outperformed Qwen/Qwen2-VL-2B-Instruct released by Alibaba Cloud, as well as other models of comparable parameter scale that have significant influence in the open-source community.
| Benchamrk | MiniCPM-2B | InternVL-2B | Qwen2-VL-2B | XinYuan-VL-2B |
|---|---|---|---|---|
| MMB-CN-V11-Test | 64.5 | 68.9 | 71.2 | 74.3 |
| MMB-EN-V11-Test | 65.8 | 70.2 | 73.2 | 76.5 |
| MMB-EN | 69.1 | 74.4 | 74.3 | 78.9 |
| MMB-CN | 66.5 | 71.2 | 73.8 | 76.12 |
| CCBench | 45.3 | 74.7 | 53.7 | 55.5 |
| MMT-Bench | 53.5 | 50.8 | 54.5 | 55.2 |
| RealWorld | 55.8 | 57.3 | 62.9 | 63.9 |
| SEEDBench_IMG | 67.1 | 70.9 | 72.86 | 73.4 |
| AI2D | 56.3 | 74.1 | 74.7 | 74.2 |
| MMMU | 38.2 | 36.3 | 41.1 | 40.9 |
| HallusionBench | 36.2 | 36.2 | 42.4 | 55.00 |
| POPE | 86.3 | 86.3 | 86.82 | 89.42 |
| MME | 1808.6 | 1876.8 | 1872.0 | 1854.9 |
| MMStar | 39.1 | 49.8 | 47.5 | 51.87 |
| SEEDBench2_Plus | 51.9 | 59.9 | 62.23 | 62.98 |
| BLINK | 41.2 | 42.8 | 43.92 | 42.98 |
| OCRBench | 605 | 781 | 794 | 782 |
| TextVQA | 74.1 | 73.4 | 79.7 | 77.6 |
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