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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

#ModelScore
1GPT-6 Astra
OpenAI
0.93
2Claude Opus 4.8
Anthropic
0.88
3GPT-5.2
OpenAI
0.86
ScreenSpot Pro Leaderboard · all the models