M4 Pro 64GB vs AMD Strix Halo 128GB for local LLMs
33 reports on the M4 Pro 64GB and 320 on the AMD Strix Halo 128GB
Which is faster for local LLMs?
On Qwen3.8 27B at 4-bit, the M4 Pro 64GB has 12.9 generation tokens/s (4 runs); prompt processing 126.2 tokens/s (4 runs); the AMD Strix Halo 128GB has 13.1 generation tokens/s (4 runs); prompt processing 378.2 tokens/s (3 runs). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 7% higher on the M4 Pro 64GB (273 GB/s on the M4 Pro 64GB, 256 on the AMD Strix Halo 128GB). Across 7 shared models with generation measurements on both cards, the M4 Pro 64GB's median is higher on 3 and the AMD Strix Halo 128GB's on 4.
- Memory
- 64GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 9.2 TFLOPS
- Reports
- 33
- Memory
- 128GB unified
- Memory bandwidth
- 256 GB/s
- FP16 compute
- 59 TFLOPS
- Reports
- 320
Measured on both
Generation and prompt processing speeds from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same bit class. Each side shows the engines and reported context behind its median. Context can mean a configured window or prompt depth, so these are community comparisons with differing settings. How to read these
| Model | M4 Pro 64GB | AMD Strix Halo 128GB |
|---|---|---|
| Qwen3.8 27B4-bit | 12.94 runsPP 126.2 (4 runs)llama.cpp, 2 not statedcontext not stated | 13.14 runsPP 378.2 (3 runs)llama.cpp, 1 not stated32K context, 3 not stated |
| gpt-oss 21B · 3.6B active4-bit | 73.63 runsPP 834.2 (3 runs)llama.cpp, 2 not statedcontext not stated | 71.74 runsPP 1088.6 (4 runs)llama.cpp, 3 not statedcontext not stated |
| Qwen3.6 35B · 3B active4-bit | 57.52 runsPP 767.1 (2 runs)llama.cpp, 1 not statedcontext not stated | 60.07 runsPP 1005.3 (7 runs)llama.cpp, 3 not stated30K context, 6 not stated |
| Qwen3 30B · 3B active4-bit | 85.92 runsPP 793.1 (2 runs)llama.cpp, 1 not statedcontext not stated | 73.73 runsPP 920.0 (3 runs)llama.cpp48K context, 2 not stated |
| Gemma 4 26B · 4B active4-bit | 57.32 runsPP 774.8 (2 runs)llama.cpp, 1 not statedcontext not stated | 67.32 runsPP 4061.0 (2 runs)Gufocontext not stated |
| Qwen3.6 27B4-bit | 12.82 runsPP 125.2 (2 runs)llama.cpp, 1 not statedcontext not stated | 12.0one runPP 322.0 (one run)engine not statedcontext not stated |
| Qwen3.5 35B · 3B active8-bit | 49.3one runengine not stated512 context | 49.7one runllama.cppcontext not stated |
Estimated by the calculator
The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.
| Model | M4 Pro 64GB | AMD Strix Halo 128GB |
|---|---|---|
| Qwen3.8 27B | 7.7 t/sQ8_0 | 3.5 t/sFP16 |
| gpt-oss 21B · 3.6B active | 46.0 t/sQ8_0 | 21.1 t/sFP16 |
| Qwen3.6 35B · 3B active | 24.1 t/sQ8_0 | 12.6 t/sFP16 |
| Qwen3 30B · 3B active | 26.9 t/sQ8_0 | 12.6 t/sFP16 |
| Gemma 4 26B · 4B active | 20.7 t/sQ8_0 | 9.5 t/sFP16 |
| Qwen3.6 27B | 7.7 t/sQ8_0 | 3.5 t/sFP16 |
| Qwen3.5 35B · 3B active | 24.1 t/sQ8_0 | 12.6 t/sFP16 |
| Qwen3.8 125B · 6B active | 34.9 t/sQ2_K | 12.6 t/sQ6_K |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | 33.5 t/sQ2_K |
| DeepSeek V4.1 Flash 552B · 16B active | doesn't fit at these settings | doesn't fit at these settings |
| GLM-5.3 320B · 18B active | doesn't fit at these settings | 11.1 t/sQ2_K |
| Qwen3.5 9B | 11.5 t/sFP16 | 10.5 t/sFP16 |
| Gemma 4 31B | 6.7 t/sQ8_0 | 3.1 t/sFP16 |
Change the context, RAM or model in the calculator: M4 Pro 64GB · AMD Strix Halo 128GB
Every report on each card, with its source: M4 Pro 64GB · AMD Strix Halo 128GB