UI-Vision is a comprehensive, license-permissive benchmark for offline, fine-grained evaluation of computer use agents in real-world desktop environments across 83 software applications spanning 6 categories. The benchmark includes three tasks:
The benchmark aims to advance the development of more capable agents for real-world desktop tasks.
| Model | Basic Overall | Functional Overall | Spatial Overall | Final Avg |
|---|---|---|---|---|
| Closed-Source VLMs | ||||
| GPT-4o | 1.58 | 1.52 | 1.03 | 1.38 |
| Gemini-1.5-pro | 0.79 | 0.28 | 0.57 | 0.55 |
| Gemini-Flash-2.0 | 0.45 | 0.40 | 0.05 | 0.30 |
| Claude-3.5-Sonnet | 5.08 | 5.19 | 3.15 | 4.47 |
| Claude-3.7-Sonnet | 9.48 | 7.73 | 7.60 | 8.27 |
| Open-Source VLMs | ||||
| Qwen-2.5VL-7B | 1.24 | 0.79 | 0.51 | 0.85 |
| InternVL2-8B | 0.11 | 0.11 | 0.00 | 0.09 |
| InternVL2.5-8B | 2.48 | 2.82 | 0.98 | 2.09 |
| Qwen-2VL-7B | 3.44 | 3.22 | 1.45 | 2.70 |
| MiniCPM-V-8B | 7.11 | 5.30 | 3.57 | 4.34 |
| Open-Source GUI Agents | ||||
| ShowUI-2B | 8.07 | 7.67 | 2.07 | 5.94 |
| AriaUI-25.3B | 12.20 | 14.00 | 3.98 | 10.10 |
| UGround-v1-7B | 15.40 | 17.10 | 6.25 | 12.90 |
| OSAtlas-7B | 12.20 | 11.20 | 3.67 | 9.02 |
| UGround-7B | 11.50 | 12.20 | 2.79 | 8.83 |
| Aguvis-7B | 17.80 | 18.30 | 5.06 | 13.70 |
| UI-TARS-7B | 20.10 | 24.30 | 8.37 | 17.60 |
| CogAgent-9B | 12.00 | 12.20 | 2.63 | 8.94 |
| SeeClick-9.6B | 9.42 | 4.68 | 2.07 | 5.39 |
| UGround-v1-72B | 27.90 | 26.70 | 14.90 | 23.20 |
| UI-TARS-72B | 31.40 | 30.50 | 14.70 | 25.50 |
| TongUI-3B | 22.40 | 17.40 | 6.50 | 15.43 |
| TongUI-7B | 24.40 | 22.50 | 7.20 | 18.03 |
| Jedi-3B | 22.29 | 25.23 | 9.35 | 18.96 |
| Jedi-7B | 32.34 | 30.47 | 12.76 | 25.19 |
| Model | IoU β | Precision β | Recall β |
|---|---|---|---|
| Closed-Source VLMs | |||
| GPT-4o | 20.0 | 59.6 | 24.1 |
| Claude-3.5-Sonnet | 22.4 | 64.3 | 26.8 |
| Claude-3.7-Sonnet | 17.6 | 31.5 | 34.1 |
| Gemini-1.5-pro | 30.8 | 67.8 | 36.9 |
| Gemini-2.0-flash | 28.3 | 63.0 | 34.2 |
| Open-Source VLMs | |||
| Qwen-2VL-7B | 24.3 | 65.7 | 33.4 |
| MiniCPM-V-8B | 16.3 | 25.7 | 43.6 |
| Open-Source GUI Agents | |||
| CogAgent-9B | 6.22 | 7.99 | 42.9 |
| SeeClick-9.6B | 5.11 | 6.32 | 30.1 |
| OSAtlas-7B | 28.2 | 66.4 | 41.6 |
| Model | Click/Move Dist. β | Click/Move Recall@d β | Drag Dist. β | Drag Recall@d β | Typing Corr. β | Hotkey Corr. β | SSR β |
|---|---|---|---|---|---|---|---|
| Naive Baselines | |||||||
| Random | 81.6 | 0.0 | 94.2 | 0.0 | N/A | N/A | N/A |
| GPT-4o w/o image | 52.0 | 3.3 | 72.4 | 0.0 | 22.7 | 34.0 | 7.64 |
| Closed-Source VLMs | |||||||
| GPT-4o | 41.2 | 4.4 | 63.9 | 1.5 | 32.1 | 56.5 | 11.5 |
| Gemini-1.5-Pro | 38.7 | 13.0 | 61.1 | 1.6 | 24.7 | 45.3 | 16.0 |
| Claude-3.5-Sonnet | 41.0 | 4.8 | 61.4 | 1.1 | 29.0 | 39.2 | 9.9 |
| Open-Source GUI Agents | |||||||
| ShowUI-2B | 42.8 | 11.8 | N/A | N/A | 15.2 | 62.5 | 15.7 |
| UI-TARS-7B | 47.0 | 19.7 | 64.8 | 3.1 | 33.8 | 40.5 | 21.4 |
βββ eval/
β βββ grounding/ # Scripts for element and layout grounding evaluation
β βββ action_prediction/ # Scripts for action prediction evaluation
βββ .gitignore # Git ignore file
βββ README.md # Project documentation
If you find UI-Vision useful in your research, please consider citing our paper:
@misc{nayak2025uivisiondesktopcentricguibenchmark,
title={UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction},
author={Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Juan A. Rodriguez and
Montek Kalsi and Rabiul Awal and Nicolas Chapados and M. Tamer Γzsu and
Aishwarya Agrawal and David Vazquez and Christopher Pal and Perouz Taslakian and
Spandana Gella and Sai Rajeswar},
year={2025},
eprint={2503.15661},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2503.15661},
}
Python
96.0%
JavaScript
1.9%
HTML
1.5%
UI-Vision is a comprehensive, license-permissive benchmark for offline, fine-grained evaluation of computer use agents in real-world desktop environments across 83 software applications spanning 6 categories. The benchmark includes three tasks:
The benchmark aims to advance the development of more capable agents for real-world desktop tasks.
| Model | Basic Overall | Functional Overall | Spatial Overall | Final Avg |
|---|---|---|---|---|
| Closed-Source VLMs | ||||
| GPT-4o | 1.58 | 1.52 | 1.03 | 1.38 |
| Gemini-1.5-pro | 0.79 | 0.28 | 0.57 | 0.55 |
| Gemini-Flash-2.0 | 0.45 | 0.40 | 0.05 | 0.30 |
| Claude-3.5-Sonnet | 5.08 | 5.19 | 3.15 | 4.47 |
| Claude-3.7-Sonnet | 9.48 | 7.73 | 7.60 | 8.27 |
| Open-Source VLMs | ||||
| Qwen-2.5VL-7B | 1.24 | 0.79 | 0.51 | 0.85 |
| InternVL2-8B | 0.11 | 0.11 | 0.00 | 0.09 |
| InternVL2.5-8B | 2.48 | 2.82 | 0.98 | 2.09 |
| Qwen-2VL-7B | 3.44 | 3.22 | 1.45 | 2.70 |
| MiniCPM-V-8B | 7.11 | 5.30 | 3.57 | 4.34 |
| Open-Source GUI Agents | ||||
| ShowUI-2B | 8.07 | 7.67 | 2.07 | 5.94 |
| AriaUI-25.3B | 12.20 | 14.00 | 3.98 | 10.10 |
| UGround-v1-7B | 15.40 | 17.10 | 6.25 | 12.90 |
| OSAtlas-7B | 12.20 | 11.20 | 3.67 | 9.02 |
| UGround-7B | 11.50 | 12.20 | 2.79 | 8.83 |
| Aguvis-7B | 17.80 | 18.30 | 5.06 | 13.70 |
| UI-TARS-7B | 20.10 | 24.30 | 8.37 | 17.60 |
| CogAgent-9B | 12.00 | 12.20 | 2.63 | 8.94 |
| SeeClick-9.6B | 9.42 | 4.68 | 2.07 | 5.39 |
| UGround-v1-72B | 27.90 | 26.70 | 14.90 | 23.20 |
| UI-TARS-72B | 31.40 | 30.50 | 14.70 | 25.50 |
| TongUI-3B | 22.40 | 17.40 | 6.50 | 15.43 |
| TongUI-7B | 24.40 | 22.50 | 7.20 | 18.03 |
| Jedi-3B | 22.29 | 25.23 | 9.35 | 18.96 |
| Jedi-7B | 32.34 | 30.47 | 12.76 | 25.19 |
| Model | IoU β | Precision β | Recall β |
|---|---|---|---|
| Closed-Source VLMs | |||
| GPT-4o | 20.0 | 59.6 | 24.1 |
| Claude-3.5-Sonnet | 22.4 | 64.3 | 26.8 |
| Claude-3.7-Sonnet | 17.6 | 31.5 | 34.1 |
| Gemini-1.5-pro | 30.8 | 67.8 | 36.9 |
| Gemini-2.0-flash | 28.3 | 63.0 | 34.2 |
| Open-Source VLMs | |||
| Qwen-2VL-7B | 24.3 | 65.7 | 33.4 |
| MiniCPM-V-8B | 16.3 | 25.7 | 43.6 |
| Open-Source GUI Agents | |||
| CogAgent-9B | 6.22 | 7.99 | 42.9 |
| SeeClick-9.6B | 5.11 | 6.32 | 30.1 |
| OSAtlas-7B | 28.2 | 66.4 | 41.6 |
| Model | Click/Move Dist. β | Click/Move Recall@d β | Drag Dist. β | Drag Recall@d β | Typing Corr. β | Hotkey Corr. β | SSR β |
|---|---|---|---|---|---|---|---|
| Naive Baselines | |||||||
| Random | 81.6 | 0.0 | 94.2 | 0.0 | N/A | N/A | N/A |
| GPT-4o w/o image | 52.0 | 3.3 | 72.4 | 0.0 | 22.7 | 34.0 | 7.64 |
| Closed-Source VLMs | |||||||
| GPT-4o | 41.2 | 4.4 | 63.9 | 1.5 | 32.1 | 56.5 | 11.5 |
| Gemini-1.5-Pro | 38.7 | 13.0 | 61.1 | 1.6 | 24.7 | 45.3 | 16.0 |
| Claude-3.5-Sonnet | 41.0 | 4.8 | 61.4 | 1.1 | 29.0 | 39.2 | 9.9 |
| Open-Source GUI Agents | |||||||
| ShowUI-2B | 42.8 | 11.8 | N/A | N/A | 15.2 | 62.5 | 15.7 |
| UI-TARS-7B | 47.0 | 19.7 | 64.8 | 3.1 | 33.8 | 40.5 | 21.4 |
βββ eval/
β βββ grounding/ # Scripts for element and layout grounding evaluation
β βββ action_prediction/ # Scripts for action prediction evaluation
βββ .gitignore # Git ignore file
βββ README.md # Project documentation
If you find UI-Vision useful in your research, please consider citing our paper:
@misc{nayak2025uivisiondesktopcentricguibenchmark,
title={UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction},
author={Shravan Nayak and Xiangru Jian and Kevin Qinghong Lin and Juan A. Rodriguez and
Montek Kalsi and Rabiul Awal and Nicolas Chapados and M. Tamer Γzsu and
Aishwarya Agrawal and David Vazquez and Christopher Pal and Perouz Taslakian and
Spandana Gella and Sai Rajeswar},
year={2025},
eprint={2503.15661},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2503.15661},
}
Python
96.0%
JavaScript
1.9%
HTML
1.5%