SourceReddit r/LocalLLaMA•Stalecollected in 2h
Gemma 4 26B Hits 81 Tok/Sec on M5 Max MacBook
#apple-silicon#local-inference#benchmarkgemma-4-26b-a4bgemma-4macbook-pro-m5-max
💡81 tok/s on M5 Max: proves laptops viable for fast local LLM inference
⚡ 30-Second TL;DR
What Changed
Average speed: 81 tokens/second
Why It Matters
Highlights Apple M5 silicon's potential for high-performance local LLM inference, reducing reliance on cloud services for developers. Enables faster prototyping on laptops without high power draw.
What To Do Next
Benchmark Gemma 4 26b a4b on your M-series Mac using MLX framework.
Who should care:Developers & AI Engineers
Key Points
- •Average speed: 81 tokens/second
- •Peak power: 114 watts in short bursts
- •Tested on MacBook Pro M5 MAX
- •Fast response times enable efficient local runs
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Original source: Reddit r/LocalLLaMA ↗
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