M2 Max 64GB vs NVIDIA RTX 5060 Ti 16GB for local LLMs
20 reports on the M2 Max 64GB and 67 on the NVIDIA RTX 5060 Ti 16GB
Which is faster for local LLMs?
On Gemma 4 26B · 4B active at 4-bit, the M2 Max 64GB has 61.6 generation tokens/s (one run); prompt processing 465.2 tokens/s (one run); the NVIDIA RTX 5060 Ti 16GB has 95.2 generation tokens/s (one run); prompt processing 3476.0 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 9% higher on the NVIDIA RTX 5060 Ti 16GB (410 GB/s on the M2 Max 64GB, 448 on the NVIDIA RTX 5060 Ti 16GB).
- Memory
- 64GB unified
- Memory bandwidth
- 410 GB/s
- FP16 compute
- 13.6 TFLOPS
- Reports
- 20
- Memory
- 16GB
- Memory bandwidth
- 448 GB/s
- FP16 compute
- 95 TFLOPS
- Reports
- 67
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 | M2 Max 64GB | NVIDIA RTX 5060 Ti 16GB |
|---|---|---|
| Gemma 4 26B · 4B active4-bit | 61.6one runPP 465.2 (one run)MLXcontext not stated | 95.2one runPP 3476.0 (one run)llama.cpp64K context |
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 | M2 Max 64GB | NVIDIA RTX 5060 Ti 16GB |
|---|---|---|
| Gemma 4 26B · 4B active | 28.2 t/sQ8_0 | 65.1 t/sQ3_K_S |
| Qwen3.8 27B | 10.4 t/sQ8_0 | 29.2 t/sQ2_K |
| Qwen3.8 125B · 6B active | 47.5 t/sQ2_K | doesn't fit at these settings |
| Qwen3.6 35B · 3B active | 32.9 t/sQ8_0 | 96.6 t/sQ2_K |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 27B | 10.4 t/sQ8_0 | 29.2 t/sQ2_K |
| DeepSeek V4.1 Flash 552B · 16B active | doesn't fit at these settings | doesn't fit at these settings |
Change the context, RAM or model in the calculator: M2 Max 64GB · NVIDIA RTX 5060 Ti 16GB
Every report on each card, with its source: M2 Max 64GB · NVIDIA RTX 5060 Ti 16GB