mlx-chronos - benchmark MLX inference engines on Apple Silicon
Standardized MLX benchmarking when everyone's currently comparing engines manually.

Standardized MLX benchmarking when everyone's currently comparing engines manually.
LiteRT beats MLX on Gemma memory while CoreML sips power on the Neural Engine.
Custom Metal shaders beat llama.cpp and MLX—1.67x faster on M4 Max.
MLX-powered local TTS plugin for OpenClaw—elegant but audience is Apple Silicon only.
GPU working set estimation catches memory overcommit before your 7B model swaps to SSD.
Full MLX power in Ruby: lazy arrays, Metal GPU, transformer layers—but Ruby adoption risk.