UI-Bench: A Benchmark for Evaluating Design Capabilities of AI Text-to-App Tools
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918135193403392 |
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| author | Jung, Sam Garcinuno, Agustin Mateega, Spencer |
| author_facet | Jung, Sam Garcinuno, Agustin Mateega, Spencer |
| contents | AI text-to-app tools promise high quality applications and websites in minutes, yet no public benchmark rigorously verifies those claims. We introduce UI-Bench, the first large-scale benchmark that evaluates visual excellence across competing AI text-to-app tools through expert pairwise comparison. Spanning 10 tools, 30 prompts, 300 generated sites, and 4,000+ expert judgments, UI-Bench ranks systems with a TrueSkill-derived model that yields calibrated confidence intervals. UI-Bench establishes a reproducible standard for advancing AI-driven web design. We release (i) the complete prompt set, (ii) an open-source evaluation framework, and (iii) a public leaderboard. The generated sites rated by participants will be released soon. View the UI-Bench leaderboard at https://uibench.ai/leaderboard. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20410 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | UI-Bench: A Benchmark for Evaluating Design Capabilities of AI Text-to-App Tools Jung, Sam Garcinuno, Agustin Mateega, Spencer Computation and Language AI text-to-app tools promise high quality applications and websites in minutes, yet no public benchmark rigorously verifies those claims. We introduce UI-Bench, the first large-scale benchmark that evaluates visual excellence across competing AI text-to-app tools through expert pairwise comparison. Spanning 10 tools, 30 prompts, 300 generated sites, and 4,000+ expert judgments, UI-Bench ranks systems with a TrueSkill-derived model that yields calibrated confidence intervals. UI-Bench establishes a reproducible standard for advancing AI-driven web design. We release (i) the complete prompt set, (ii) an open-source evaluation framework, and (iii) a public leaderboard. The generated sites rated by participants will be released soon. View the UI-Bench leaderboard at https://uibench.ai/leaderboard. |
| title | UI-Bench: A Benchmark for Evaluating Design Capabilities of AI Text-to-App Tools |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2508.20410 |