Benchmarked inference engines for M1 Max 64gb-results & analysis
A hobbyist benchmarked several inference engines on an M1 Max MacBook Pro using the Qwen3.5-4B model. The results, submitted to the mlx-chronos community benchmark, indicate that rapid-mlx offers the best performance in terms of speed and memory efficiency. The user is now employing rapid-mlx to serve the Qwen35b-A3b model. AI
IMPACT Provides practical insights for local LLM deployment on Apple Silicon, highlighting efficient inference engines.