Intel Arc B580 12GBBudget pickC39.9 tok/s decode
~$249 MSRP
Can it run?
Too heavy
Using Q4_K_M in Ollama
Fit status
Too heavy
Decode
14.7 tok/s
TTFT
13180 ms
Safe context
8K
Memory
8.5 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 14.7 tok/s | 19171 ms | 13K |
| Chat | F | Too heavy | 14.7 tok/s | 7189 ms | 4K |
| Coding | F | Too heavy | 14.7 tok/s | 13180 ms | 8K |
| RAG | F | Too heavy | 14.7 tok/s | 23964 ms | 13K |
| Reasoning | F | Too heavy | 14.7 tok/s | 15577 ms | 8K |
How Qwen3.5 9B Uncensored HauhauCS Aggressive (9B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | C45 |
Q3_K_S | 3 | 4.4 GB | Low | F0 |
NVFP4 | 4 |
Upgrade options
Intel Arc B580 12GBBudget pick~$249 MSRP
RTX 3060 12GBBest value~$329 MSRP
RTX 3080 12GBBiggest leap~$799 MSRP
Intel Arc Pro A60 12GBIntel upgrade
5.0 GB |
| Medium |
| F0 |
Q4_K_M | 4 | 5.5 GB | Medium | F0 |
Q5_K_M | 5 | 6.5 GB | High | F0 |
Q6_K | 6 | 7.4 GB | High | F0 |
Q8_0 | 8 | 9.6 GB | Very High | F0 |
F16 | 16 | 18.5 GB | Maximum | F0 |