Qwen3.5 9B
on M3 Ultra 256GB · llama.cpp
Summary
User reports 77.8 t/s generation.
Source evidence (verbatim):
Source: https://terminalbytes.com/ollama-vs-llama-cpp-vs-mlx-mac-2026/
# Ollama vs llama.cpp vs MLX on a Mac Studio, measured
Hardware: Mac Studio with an M3 Ultra and 256GB unified memory. The author ran Qwen3.5 9B through every runtime with the same 34-token prompt, thinking off, one request at a time, two runs each, no speculative decoding. Results, generation speed: llama.cpp llama-bench build 10809 with unsloth Qwen3.5-9B Q4_K_M GGUF, tg128 77.8 tok/s; Ollama 0.32.13 GGUF qwen3.5:9b Q4_K_M 77.7 tok/s; Ollama 0.32.13 MLX NVFP4 90.5 tok/s; rapid-mlx 0.14.1 Qwen3.5-9B 4-bit 105.9 tok/s; mlx-lm 0.31.3 Qwen3.5-9B 4-bit 107.5 tok/s. The author wrote down the numbers from his own runs.