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OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
OmniGUI is a step-level GUI agent benchmark designed for omni-modal smartphone interaction. At each action step, the agent receives interleaved multimodal observations, including static screenshots, synchronous audio cues, short video clips, and action history, and must predict the next GUI action such as TAP or TYPE.
The benchmark contains 708 expert-demonstrated episodes and 2,572 action steps across 29 real smartphone applications in both Chinese and English. OmniGUI evaluates five core capabilities: Localization, Semantic Understanding, Cross-modal Discrimination, Temporal Reasoning, and Instant Response.
π Quick Start
Download the dataset
You can download the dataset using the huggingface-cli:
huggingface-cli download XIAOCHENLIN00zz/OmniGUI \
--repo-type dataset \
--local-dir data
After downloading, your local data directory should contain:
data/merged_sorted.jsondata/benchmark/
π οΈ APP STATISTICS
π Chinese Applications (ZH)
| App Name | Ep | Stp | Loc | Sem | Cro | Tem | Ins |
|---|---|---|---|---|---|---|---|
| Bilibili | 29 | 89 | 7 | 5 | 6 | 6 | 5 |
| Douyin | 29 | 97 | 7 | 5 | 6 | 6 | 5 |
| Meituan | 26 | 103 | 6 | 5 | 6 | 5 | 4 |
| 25 | 84 | 7 | 5 | 4 | 5 | 4 | |
| DiDi | 25 | 92 | 5 | 5 | 5 | 5 | 5 |
| Amap | 25 | 64 | 5 | 5 | 5 | 5 | 5 |
| JD | 25 | 80 | 5 | 5 | 5 | 5 | 5 |
| PDD | 25 | 72 | 5 | 5 | 5 | 5 | 5 |
| QQ Music | 25 | 95 | 5 | 5 | 5 | 5 | 5 |
| Taobao | 21 | 78 | 5 | 5 | 2 | 4 | 5 |
| 25 | 106 | 5 | 5 | 5 | 5 | 5 | |
| RedNote | 25 | 99 | 5 | 5 | 5 | 5 | 5 |
| Kuaishou | 24 | 120 | 4 | 5 | 5 | 6 | 4 |
| iQIYI | 20 | 56 | 0 | 5 | 0 | 12 | 3 |
| Alipay | 14 | 64 | 5 | 0 | 5 | 4 | 0 |
| SUBTOTAL | 363 | 1299 | 76 | 70 | 69 | 83 | 65 |
π English Applications (EN)
| App Name | Ep | Stp | Loc | Sem | Cro | Tem | Ins |
|---|---|---|---|---|---|---|---|
| Duolingo | 35 | 133 | 5 | 5 | 5 | 15 | 5 |
| GTrans | 25 | 88 | 5 | 5 | 5 | 5 | 5 |
| Snapchat | 25 | 104 | 5 | 5 | 5 | 5 | 5 |
| Spotify | 25 | 91 | 5 | 5 | 5 | 5 | 5 |
| Tasty | 25 | 69 | 5 | 5 | 10 | 5 | 0 |
| TED | 25 | 115 | 5 | 5 | 5 | 5 | 5 |
| TikTok | 25 | 77 | 5 | 5 | 5 | 5 | 5 |
| Vimeo | 25 | 86 | 5 | 5 | 5 | 5 | 5 |
| X | 25 | 61 | 5 | 5 | 5 | 5 | 5 |
| YouTube | 25 | 123 | 5 | 5 | 5 | 5 | 5 |
| RedBull | 24 | 110 | 5 | 4 | 5 | 5 | 5 |
| Amazon | 22 | 69 | 5 | 5 | 4 | 4 | 4 |
| IMDb | 20 | 95 | 5 | 4 | 4 | 3 | 4 |
| Insta | 19 | 52 | 4 | 4 | 4 | 1 | 6 |
| SUBTOTAL | 345 | 1273 | 69 | 67 | 72 | 73 | 64 |
π FINAL SUMMARY (TOTAL)
| Total | Ep | Stp | Loc | Sem | Cro | Tem | Ins |
|---|---|---|---|---|---|---|---|
| ALL APPS | 708 | 2572 | 145 | 137 | 141 | 156 | 129 |
Citation
Feel free to cite the following article if you find OmniGUI helpful:
@misc{henry2026omniguibenchmarkingguiagents,
title={OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments},
author={Felix Henry and Xiaochen Lin and Jiangyou Zhu and Yangfan and Bingqian Zhang and Min Chen and Shiyu Huang},
year={2026},
eprint={2605.18758},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2605.18758},
}
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