Home › GPUs & Macs › Apple M4 Pro (16-core GPU) vs Apple M5 Pro (16-core GPU)
Apple M4 Pro (16-core GPU) vs Apple M5 Pro (16-core GPU) for local LLMs
Across 5 tests measured on both, the Apple M5 Pro (16-core GPU) is faster in 5 and generates a median 1.36× the tokens/s of the Apple M4 Pro (16-core GPU).
On Llama 2 7B (F16, llama-bench) the Apple M4 Pro (16-core GPU) generates 17.2 tokens/s and the Apple M5 Pro (16-core GPU) 21.4 tokens/s (measured).
Same model, same quant, same test
| Model | Quant / test | M4 Pro (16-core GPU) tok/s | M5 Pro (16-core GPU) tok/s | Faster | Sources and run details |
|---|---|---|---|---|---|
| Llama 2 7B | F16 llama-bench | 17.2 Metal | 21.4 Metal | M5 Pro (16-core GPU) +24% | llama.cpp #4167 M4 Pro (16-core GPU) · llama.cpp #4167 M5 Pro (16-core GPU) |
| Llama 2 7B | Q4_0 llama-bench | 49.6 Metal | 67.6 Metal | M5 Pro (16-core GPU) +36% | llama.cpp #4167 M4 Pro (16-core GPU) · llama.cpp #4167 M5 Pro (16-core GPU) |
| Llama 2 7B | Q8_0 llama-bench | 30.5 Metal | 38.9 Metal | M5 Pro (16-core GPU) +28% | llama.cpp #4167 M4 Pro (16-core GPU) · llama.cpp #4167 M5 Pro (16-core GPU) |
| Llama 3.1 8B Instruct | Q4_K_M LocalScore | 30.2 llamafile | 43.5 llamafile | M5 Pro (16-core GPU) +44% | LocalScore M4 Pro (16-core GPU) · LocalScore M5 Pro (16-core GPU) |
| Qwen2.5 14B Instruct | Q4_K_M LocalScore | 16.1 llamafile | 22.1 llamafile | M5 Pro (16-core GPU) +37% | LocalScore M4 Pro (16-core GPU) · LocalScore M5 Pro (16-core GPU) |
Generation speed in tokens/s, best measured backend for each chip (shown under the number). Backends can differ between the two chips; check them before drawing conclusions. Measured results only, nothing estimated.
Specs
| Apple M4 Pro (16-core GPU) | Apple M5 Pro (16-core GPU) | |
|---|---|---|
| Memory | Unified memory | Unified memory |
| Memory bandwidth | 273 GB/s | 307 GB/s |
All results for the Apple M4 Pro (16-core GPU) · All results for the Apple M5 Pro (16-core GPU) · More comparisons