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Ruiming Tian

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Preprint Jul 2026

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference

This study presents the first comprehensive, cross-layer measurement study of mobile LLM inference, uniquely spanning five mainstream frameworks and three hardware backends, and identifies a distinct phase split where NPUs excel at compute-bound prefilling, while CPUs outperform all other backends in memory-bound decoding.

Guanyu Cai, Ruiming Tian, Lang Yang et al. · 0 citations