multimodal benchmark
ScreenSpot is the first realistic GUI grounding benchmark that encompasses mobile, desktop, and web environments. The dataset comprises over 1,200 instructions from iOS, Android, macOS, Windows and Web environments, along with annotated element types (text and icon/widget), designed to evaluate visual GUI agents' ability to accurately locate screen elements based on natural language instructions.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 95.8% | 100.0% | 16 | C | |
| 2 | AC | 95.7% | 93.3% | 16 | C | |
| 3 | AC | 95.4% | 86.7% | 16 | C | |
| 4 | AC | 95.4% | 80.0% | 16 | C | |
| 5 | AC | 94.7% | 73.3% | 16 | C | |
| 6 | AC | 94.7% | 66.7% | 16 | C | |
| 7 | AC | 94.4% | 60.0% | 16 | C | |
| 8 | AC | 94.0% | 53.3% | 16 | C | |
| 9 | AC | 93.6% | 46.7% | 16 | C | |
| 10 | AC | 92.9% | 40.0% | 16 | C | |
| 11 | AC | 88.5% | 33.3% | 16 | C | |
| 12 | AM | 88.1% | 26.7% | 16 | C | |
| 13 | AC | 87.1% | 20.0% | 16 | C | |
| 14 | AM | 85.4% | 13.3% | 16 | C | |
| 15 | AC | 84.7% | 6.7% | 16 | C | |
| 16 | AM | 83.3% | 0.0% | 16 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
ScreenSpot is the first realistic GUI grounding benchmark that encompasses mobile, desktop, and web environments. The dataset comprises over 1,200 instructions from iOS, Android, macOS, Windows and Web environments, along with annotated element types (text and icon/widget), designed to evaluate visual GUI agents' ability to accurately locate screen elements based on natural language instructions.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about ScreenSpot.
Qwen3 VL 32B Instruct is currently ranked first with 95.8%.
ScreenSpot is the first realistic GUI grounding benchmark that encompasses mobile, desktop, and web environments. The dataset comprises over 1,200 instructions from iOS, Android, macOS, Windows and Web environments, along with annotated element types (text and icon/widget), designed to evaluate visual GUI agents' ability to accurately locate screen elements based on natural language instructions.
Yes. Higher values rank better for this benchmark.
16 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.