Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
FastVLM is an on-device Vision Language Model from Apple that uses a novel hybrid vision encoder (FastViTHD) to convert high-resolution images into compact tokens for fast language reasoning. It delivers large speedups and smaller encoder size (e.g., 85x faster TTFT and 3.4x smaller encoder than LLaVA-0.5B) and is offered in 0.5B, 1.5B, and 7B sizes optimized for Apple Silicon with FP16, INT8, and INT4 formats. The model enables on-device tasks such as object counting, scene understanding, handwriting recognition, and visual question answering, with pre-trained checkpoints and iOS/macOS demos to support offline, privacy-preserving use.
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