Inference speed tests on Local Large Language Models on various devices. Feel free to contribute your results.
Note: None of the following results are verified
All models have been tested with the following Prompt: Write a 500 word story
| GGUF models | M4 Max (128 GB RAM, 40-core GPU) | M4 Max (36GB RAM, 32-core GPU) | M1 Pro (32GB RAM, 16-core GPU) |
|---|---|---|---|
| Qwen2.5:7B (4bit) | 72.50 tokens/s | 60.71 tokens/s | 26.85 tokens/s |
| Qwen2.5:14B (4bit) | 38.23 tokens/s | Didn't Test | 14.66 tokens/s |
| Qwen2.5:32B (4bit) | 19.35 tokens/s | Didn't Test | 6.95 tokens/s |
| Qwen2.5:72B (4bit) | 8.76 tokens/s | Didn't Test | Didn't Test |
| gpt-oss:20B (4bit) | Didn't Test | 68.20 tokens/s | Didn't Test |
| MLX models | M4 Max (128 GB RAM, 40-core GPU) | M4 Max (36GB RAM, 32-core GPU) | M1 Pro (32GB RAM, 16-core GPU) |
|---|---|---|---|
| Qwen2.5-7B-Instruct (4bit) | 101.87 tokens/s | 81.60 tokens/s | 38.99 tokens/s |
| Qwen2.5-14B-Instruct (4bit) | 52.22 tokens/s | Didn't Test | 18.88 tokens/s |
| Qwen2.5-32B-Instruct (4bit) | 24.46 tokens/s | Didn't Test | 9.10 tokens/s |
| Qwen2.5-32B-Instruct (8bit) | 13.75 tokens/s | Didn't Test | Won’t Complete (Crashed) |
| Qwen2.5-72B-Instruct (4bit) | 10.86 tokens/s | Didn't Test | Didn't Test |
| gpt-oss:20B (4bit) | Didn't Test | 82.66 tokens/s | Didn't Test |
| GGUF models | M4 Max (128 GB RAM, 40-core GPU) | M1 Pro (32GB RAM, 16-core GPU) |
|---|---|---|
| Qwen2.5-7B-Instruct (4bit) | 71.73 tokens/s | 26.12 tokens/s |
| Qwen2.5-14B-Instruct (4bit) | 39.04 tokens/s | 14.67 tokens/s |
| Qwen2.5-32B-Instruct (4bit) | 19.56 tokens/s | 4.53 tokens/s |
| Qwen2.5-72B-Instruct (4bit) | 8.31 tokens/s | Didn't Test |
| GGUF models | M1 Max (32GB RAM, 23-core GPU) | M3 Ultra (256GB, 80-core GPU) |
|---|---|---|
| mistral-small:23b (4bit) | 15.11 tokens/s | Didn't Test |
| mistral-large:123b (4bit) | Didn't Test | 8.42 tokens/s |
| llama3.1:8b (4bit) | 38.73 tokens/s | 85.02 tokens/s |
| llama3.2-vision:9b (4bit) | 39.05 tokens/s | Didn't Test |
| deepseek-r1:14b (4bit) | 21.16 tokens/s | 46.50 tokens/s |
| deepseek-r1:32b (4bit) | Didn't Test | 25.58 tokens/s |
| deepseek-r1:70b (4bit) | Didn't Test | 13.16 tokens/s |
| hermes3:405b (4bit) | Didn't Test | 2.47 tokens/s |
| Qwen2.5:7B (4bit) | Didn't Test | 88.87 tokens/s |
| Qwen2.5:14B (4bit) | Didn't Test | 47.25 tokens/s |
| Qwen2.5:32B (4bit) | Didn't Test | 26.02 tokens/s |
| Qwen2.5:70B (4bit) | Didn't Test | 12.21 tokens/s |
- Run your model with the verbose flag (e.g
ollama run mistral-small --verbose) - Enter the prompt
Write a 500 word story - In the column of your device add the TPS (tokens-per-second) output of
eval ratein Ollama - If your device is not in the list add it