[r/LocalLLaMA] MLX is not faster. I benchmarked MLX vs llama.cpp on M1 Max across four real workloads. Effective tokens/s is quite an issue. What am I missing? Help me with benchmarks and M2 through M5 comparison.

Summary

A user benchmarked MLX against llama.cpp on an M1 Max, challenging the common belief that MLX is significantly faster for local LLM inference. Contrary to initial observations in LM Studio, real-world tasks like document classification showed GGUF/llama.cpp performing better, with multi-turn conversations showing little difference. The user is seeking community input to understand these discrepancies and improve benchmarks.

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