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ScreenSpot Pro
ScreenSpot-Pro is a novel GUI grounding benchmark designed to rigorously evaluate the grounding capabilities of multimodal large language models (MLLMs) in professional high-resolution computing environments. The benchmark comprises 1,581 instructions across 23 applications spanning 5 industries and 3 operating systems, featuring authentic high-resolution images from professional domains with expert annotations. Unlike previous benchmarks that focus on cropped screenshots in consumer applications, ScreenSpot-Pro addresses the complexity and diversity of real-world professional software scenarios, revealing significant performance gaps in current MLLM GUI perception capabilities.
id screenspot-pro · max 1 · 26 models reported
| # | Model | Score |
|---|---|---|
| 1 | GPT-6 Astra OpenAI | 0.93 |
| 2 | Claude Opus 4.8 Anthropic | 0.88 |
| 3 | GPT-5.2 OpenAI | 0.86 |
