OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
This benchmark addresses the need for evaluating GUI agents in realistic multimodal smartphone interactions, revealing limitations of existing models in processing dynamic audio-visual cues.
OmniGUI introduces the first step-level benchmark for evaluating GUI agents in omni-modal smartphone environments, incorporating static images, synchronous audio, and video clips. Experiments show that current models perform well on static tasks but degrade significantly with temporal and auditory signals, with cross-modal interference as a key bottleneck.
Current benchmarks for graphical user interface (GUI) agents predominantly rely on static screenshots. However, real-world smartphone interaction routinely requires agents to process transient audio cues and temporal video dynamics that are tightly coupled with the moment of action. To bridge this gap, we introduce OmniGUI, the first step-level benchmark designed to evaluate GUI agents in omni-modal smartphone environments. OmniGUI provides continuous, interleaved multimodal inputs comprising static images, synchronous audio, and video clips at every action step. The dataset encompasses 709 expert-demonstrated episodes (2,579 action steps) across 29 applications, systematically annotated with objective multimodal dependency levels. Because dedicated omni-modal GUI agent frameworks are currently in their nascent stage, we select foundational omni-modal models capable of natively processing interleaved inputs to serve as agent proxies for our initial baselines. Our empirical evaluation reveals that while current models exhibit competency on visually static tasks, their action prediction performance degrades significantly in environments requiring synchronous temporal and auditory signals. Furthermore, ablation studies isolate specific operational bottlenecks, notably cross-modal interference when processing task-irrelevant environmental noise. The complete dataset, evaluation pipeline, and baseline prompts are provided in the supplementary material. Project page: https://omni-gui.github.io.