Apple M1 Ultra for local LLMs
5 measured results from 2 builds, each linked to its source.
| Memory | unified memory |
|---|---|
| Memory bandwidth | not listed |
| Typical EU price | not tracked yet |
Can it run? gpt-oss 20B on Apple M1 Ultra
All builds with the Apple M1 Ultra
| Build | GPU(s) | Memory GB (total) | Results |
|---|---|---|---|
| Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra 64-core GPU (unified) | 128 | 4 |
| Mac Studio M1 Ultra | Apple M1 Ultra | 1 |
All measured results
(MTP, DFlash, DSpark and similar draft-and-verify methods give much higher tok/s on predictable text and are not comparable 1:1 with plain decode)
| Model | Build | Ran on | Quant | Engine | tok/s | Details |
|---|---|---|---|---|---|---|
| gpt-oss 20B | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra | llama.cpp | 100.43 | ||
| DeepSeek R1 Distill 14B legacy | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra | llama.cpp | 41.51 | ||
| Llama 3.1 70B legacy | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra | llama.cpp | 9.84 | ||
| Llama 3.1 8B legacy | Mac Studio M1 Ultra | Apple M1 Ultra | Q8 | llama.cpp-based | 37.92 | |
| Llama 3.2 3B legacy | Mac Studio M1 Ultra (64-core GPU) 128GB | Apple M1 Ultra | llama.cpp | 127.6 |
All Apple M1 Ultra builds: see also all GPUs · best LLMs by memory size · download the dataset.
FAQ
How fast is the Apple M1 Ultra for local LLMs?
The fastest plain-decode result we have is 127.6 tok/s on Llama 3.2 3B (, llama.cpp) in Mac Studio M1 Ultra (64-core GPU) 128GB. Speed depends heavily on the model, quant and engine, so compare like with like in the table. RigBase lists 5 measured results from 2 builds.
How much memory does the Apple M1 Ultra have?
unified memory.
Which models have been measured on the Apple M1 Ultra?
DeepSeek R1 Distill 14B, Llama 3.1 70B, Llama 3.1 8B, Llama 3.2 3B, gpt-oss 20B.
Where do these numbers come from?
Every row links to a build page with its original public source (benchmark logs, READMEs, forum posts). RigBase does not re-run the benchmarks. Results marked ⚡ use speculative decoding and are not comparable 1:1 with plain decode.
Referral link: if you sign up with Google and add $10, Runpod gives you and RigBase bonus credit (terms). It never affects our data.