Intel Arc B580 12GBBudget pickC39.9 tok/s decode
~$249 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
23.7 tok/s
TTFT
8176 ms
Safe context
19K
Memory
9.8 GB / 11.5 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs with offload | 23.7 tok/s | 11892 ms | 33K |
| Chat | C | Runs well | 23.7 tok/s | 4460 ms | 10K |
| Coding | C | Tight fit | 23.7 tok/s | 8176 ms | 19K |
| RAG | C | Runs with offload | 23.7 tok/s | 14865 ms | 33K |
| Reasoning | C | Tight fit | 23.7 tok/s | 9662 ms | 19K |
How Qwen3.5 9B (9B params) fits at each quantization level on MacBook Pro M1 Pro 16GB (11.5 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D36 |
Q3_K_S | 3 | 4.4 GB | Low | D38 |
NVFP4 | 4 |
huggingface-cli download hf-lmstudio-community--qwen3-5-9b-ggufUpgrade options
Intel Arc B580 12GBBudget pick~$249 MSRP
RTX 3060 12GBBest value~$329 MSRP
RTX 3080 12GBBiggest leap~$799 MSRP
5.0 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 5.5 GB | Medium | D40 |
Q5_K_M | 5 | 6.5 GB | High | C41 |
Q6_KBest for your GPU | 6 | 7.4 GB | High | C43 |
Q8_0 | 8 | 9.6 GB | Very High | C44 |
F16 | 16 | 18.5 GB | Maximum | F0 |
~$1,999 MSRP