MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
On the map: LLM agents and tool use → GUI and mobile agents
Abstract (arXiv)
We introduce MMBench-GUI, a hierarchical benchmark for evaluating GUI automation agents across Windows, macOS, Linux, iOS, Android, and Web platforms. It comprises four levels: GUI Content Understanding, Element Grounding, Task Automation, and Task Collaboration, covering essential skills for GUI agents. In addition, we propose a novel Efficiency-Quality Area (EQA) metric to assess GUI agent execution efficiency in online automation scenarios. Through MMBench-GUI, we identify accurate visual grounding as a critical determinant of overall task success, emphasizing the substantial benefits of modular frameworks that integrate specialized grounding modules. Furthermore, to achieve reliable GUI automation, an agent requires strong task planning and cross-platform generalization abilities, with long-context memory, a broad action space, and long-term reasoning playing a critical role. More important, task efficiency remains a critically underexplored dimension, and all models suffer from substantial inefficiencies, with excessive redundant steps even when tasks are ultimately completed. The integration of precise localization, effective planning, and early stopping strategies is indispensable to enable truly efficient and scalable GUI automation. Our benchmark code, evaluation data, and running environment will be publicly available at https://github.com/open-compass/MMBench-GUI.
Key facts. Cited by 67 papers in the map (data through 14 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 48 of its 54 references that are in the map. First posted on arXiv 25 Jul 2025.
Builds on
48 of 54 references.
Closest ancestors · 19
Same direction, newest first
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- 2025Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis19 May
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- 2025ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use4 Apr
- 2025UI-TARS: Pioneering Automated GUI Interaction with Native Agents21 Jan
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- 2024AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents31 Oct
- 2024OS-ATLAS: A Foundation Action Model for Generalist GUI Agents30 Oct
- 2024AutoGLM: Autonomous Foundation Agents for GUIs28 Oct
- 2024Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents7 Oct
- 2024Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale12 Sep
- 2024GUICourse: From General Vision Language Models to Versatile GUI Agents17 Jun
7 more
- 2024On the Effects of Data Scale on UI Control Agents6 Jun
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- 2024OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web27 Feb
- 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvement12 Feb
- 2024ScreenAgent: A Vision Language Model-driven Computer Control Agent9 Feb
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
- 2023CogAgent: A Visual Language Model for GUI Agents14 Dec
Other references · 29
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- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 2,006
- 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,834
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- 2022ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoningcited by 1,479
- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,242
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- 2025Kimi-VL Technical Reportcited by 388
- 2024AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agentscited by 339
- 2023Android in the Wild: A Large-Scale Dataset for Android Device Controlcited by 319
- 2024Aguvis: Unified Pure Vision Agents for Autonomous GUI Interactioncited by 278
- 2024ShowUI: One Vision-Language-Action Model for GUI Visual Agentcited by 232
- 2024GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devicescited by 194
- 2023Multimodal Web Navigation with Instruction-Finetuned Foundation Modelscited by 160
- 2024Aria-UI: Visual Grounding for GUI Instructionscited by 140
- 2024VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agentscited by 103
- 2021WebSRC: A Dataset for Web-Based Structural Reading Comprehensioncited by 100
- 2025UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interactioncited by 77
- 2022ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshotscited by 66
- 2025ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflowscited by 52
- 2023ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automationcited by 45
- 2025UI-E2I-Synth: Advancing GUI Grounding with Large-Scale Instruction Synthesiscited by 20
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Citing papers per year: 2025: 23; 2026: 44.
67 papers.
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- 2026MedSPOT: A Workflow-Aware Sequential Grounding Benchmark for Clinical GUI20 Mar 2026
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- 2025From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training11 Nov 2025
- 2025GUI Knowledge Bench: Revealing the Knowledge Gap of VLMs in GUI Tasks30 Oct 2025
- 2025DaMo: Data Mixing Optimizer in Fine-tuning Multimodal LLMs for Mobile Phone Agents22 Oct 2025
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- 2025Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmarkcited by 43
- 2026MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hintscited by 5
- 2025Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agentscited by 4
- 2026What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoningcited by 4
- 2026VISTA: View-Consistent Self-Verified Training for GUI Groundingcited by 3
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- 2026GUI-Primitives: Diagnosing Spatial Reasoning Failures in Vision-Language GUI Grounding22 Aug 2026
- 2026VISTA: View-Consistent Self-Verified Training for GUI Grounding12 Jun 2026
- 2026What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning8 Apr 2026
- 2026Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models6 Apr 2026
- 2026MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints20 Mar 2026
- 2025Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark30 Oct 2025
- 2025Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agents2 Oct 2025
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- 2026One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Groundingcited by 2
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- 2026ScreenHaystack: Finding Blind Zones in GUI Groundingcited by 0
- 2026ScreenHaystack: Finding Blind Zones in GUI Grounding25 Sep 2026
- 2026LookAgain: Closed-Loop GUI Grounding with Visually Grounded Reflection10 Aug 2026
- 2026GUI-Lens: Coarse-to-Fine Cropping for GUI Grounding with General-Purpose VLMs4 Aug 2026
- 2026One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding29 Jun 2026
- 2026MMSkills: Towards Multimodal Skills for General Visual Agents13 May 2026
- 2026What Happens Before Decoding? Prefill Determines GUI Grounding in VLMs10 May 2026
- 2026AutoGUI-v2: A Comprehensive Multi-Modal GUI Functionality Understanding Benchmark27 Apr 2026
- 2026ScreenParse: Moving Beyond Sparse Grounding with Complete Screen Parsing Supervision15 Feb 2026
- 2026POINTS-GUI-G: GUI-Grounding Journey6 Feb 2026
- 2025OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models18 Dec 2025
- 2025GUIrilla: A Scalable Framework for Automated Desktop UI Exploration16 Oct 2025
- 2025Generalist Scanner Meets Specialist Locator: A Synergistic Coarse-to-Fine Framework for Robust GUI Grounding29 Sep 2025
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