M5 Max 48GB vs NVIDIA RTX 3060 12GB for local LLMs
67 reports on the M5 Max 48GB and 63 on the NVIDIA RTX 3060 12GB
Which is faster for local LLMs?
On Gemma 4 5.1B at 4-bit, the M5 Max 48GB has 173.7 generation tokens/s (one run); prompt processing 7021.2 tokens/s (one run); the NVIDIA RTX 3060 12GB has 60.0 generation tokens/s (one run). 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 1.7x higher on the M5 Max 48GB (614 GB/s on the M5 Max 48GB, 360 on the NVIDIA RTX 3060 12GB). Across 2 shared models with generation measurements on both cards, the M5 Max 48GB's median is higher on 2 and the NVIDIA RTX 3060 12GB's on 0.
- Memory
- 48GB unified
- Memory bandwidth
- 614 GB/s
- FP16 compute
- not on record
- Reports
- 67
- Memory
- 12GB
- Memory bandwidth
- 360 GB/s
- FP16 compute
- 51 TFLOPS
- Reports
- 63
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 | M5 Max 48GB | NVIDIA RTX 3060 12GB |
|---|---|---|
| Gemma 4 5.1B4-bit | 173.7one runPP 7021.2 (one run)llama.cppcontext not stated | 60.0one runOllamacontext not stated |
| Gemma 4 8B4-bit | 110.5one runPP 4217.3 (one run)llama.cppcontext not stated | 45.0one runOllamacontext 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 | M5 Max 48GB | NVIDIA RTX 3060 12GB |
|---|---|---|
| Gemma 4 5.1B | 47.9 t/sFP16 | 38.8 t/sQ8_0 |
| Gemma 4 8B | 30.5 t/sFP16 | 30.5 t/sQ6_K |
| Qwen3.8 27B | 22.3 t/sQ6_K | 1.5 t/sQ8_0, layers on CPU |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 35B · 3B active | 88.4 t/sQ5_K_M | 13.1 t/sQ6_K, experts in RAM |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 27B | 22.3 t/sQ6_K | 1.5 t/sQ8_0, layers on CPU |
| Gemma 4 26B · 4B active | 43.2 t/sQ8_0 | 58.8 t/sQ2_K |
Change the context, RAM or model in the calculator: M5 Max 48GB · NVIDIA RTX 3060 12GB
Every report on each card, with its source: M5 Max 48GB · NVIDIA RTX 3060 12GB