Running Local LLMs on Apple M4 with 24GB Memory — Practical Benchmarks Hit 553 Points on HN

jola.dev / Hacker News·medium signal

A developer published a detailed guide benchmarking multiple open-weight LLMs on Apple's M4 chip with 24GB unified memory, showing practical usable performance for coding and reasoning tasks across quantized model variants without GPU server infrastructure. The post hit 553 points and 166 comments on Hacker News, reflecting strong practitioner interest in local inference as a viable alternative to cloud APIs. Results demonstrate that the M4's memory bandwidth and Neural Engine make consumer hardware genuinely competitive for daily LLM use.