NVIDIA DGX Spark vs M4 Pro 64GB for local LLMs
82 reports on the NVIDIA DGX Spark and 33 on the M4 Pro 64GB
Which is faster for local LLMs?
Nobody has reported the same model at the same quant on both cards yet, so there's no measured head-to-head. Memory bandwidth, which caps how fast a card can write, is about the same on both (273 GB/s on the NVIDIA DGX Spark, 273 on the M4 Pro 64GB). The estimates below compare them on the models people run most.
NVIDIA DGX Spark
- Memory
- 128GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 125 TFLOPS
- Reports
- 82
M4 Pro 64GB
- Memory
- 64GB unified
- Memory bandwidth
- 273 GB/s
- FP16 compute
- 9.2 TFLOPS
- Reports
- 33
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.
| Model | NVIDIA DGX Spark | M4 Pro 64GB |
|---|---|---|
| Qwen3.8 27B | 4.0 t/sFP16 | 7.7 t/sQ8_0 |
| Qwen3.8 125B · 6B active | 14.4 t/sQ6_K | 34.9 t/sQ2_K |
| Qwen3.6 35B · 3B active | 14.5 t/sFP16 | 24.1 t/sQ8_0 |
| DeepSeek V4 Flash 284B · 13B active | 38.3 t/sQ2_K | doesn't fit at these settings |
| Qwen3.6 27B | 4.0 t/sFP16 | 7.7 t/sQ8_0 |
| Gemma 4 26B · 4B active | 10.8 t/sFP16 | 20.7 t/sQ8_0 |
Change the context, RAM or model in the calculator: NVIDIA DGX Spark · M4 Pro 64GB
Every report on each card, with its source: NVIDIA DGX Spark · M4 Pro 64GB