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arXiv · 2312.12472

A Performance Evaluation of a Quantized Large Language Model on Various Smartphones

Tolga Çöplü·Marc Loedi·Arto Bendiken·Mykhailo Makohin·Joshua J. Bouw·Stephen Cobb
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Abstract

This paper explores the feasibility and performance of on-device large language model (LLM) inference on various Apple iPhone models. Amidst the rapid evolution of generative AI, on-device LLMs offer solutions to privacy, security, and connectivity challenges inherent in cloud-based models. Leveraging existing literature on running multi-billion parameter LLMs on resource-limited devices, our study examines the thermal effects and interaction speeds of a high-performing LLM across different smartphone generations. We present real-world performance results, providing insights into on-device inference capabilities.

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BibTeXRIS

Tolga Çöplü, Marc Loedi, Arto Bendiken, Mykhailo Makohin, Joshua J. Bouw, Stephen Cobb. 2023-12-19. A Performance Evaluation of a Quantized Large Language Model on Various Smartphones. https://arxiv.org/abs/2312.12472

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