Intel Arc B580 12GBBudget pickC44.9 tok/s decode
~$249 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
13.3 tok/s
TTFT
14535 ms
Safe context
20K
Memory
9.1 GB / 11.5 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 13.3 tok/s | 21142 ms | 36K |
| Chat | C | Runs well | 13.3 tok/s | 7928 ms | 11K |
| Coding | C | Runs well | 13.3 tok/s | 14535 ms | 20K |
| RAG | C | Tight fit | 13.3 tok/s | 26427 ms | 36K |
| Reasoning | C | Runs well | 13.3 tok/s | 17178 ms | 20K |
How llava llama 3 8b v1 1 (8B params) fits at each quantization level on MacBook Air M2 16GB (11.5 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D35 |
Q3_K_S | 3 | 3.9 GB | Low | D37 |
NVFP4 | 4 | 4.5 GB | Medium | D38 |
Q4_K_M | 4 | 4.9 GB | Medium | D39 |
Q5_K_M | 5 | 5.8 GB | High | C40 |
Q6_KBest for your GPU | 6 | 6.6 GB | High | C42 |
Q8_0 | 8 | 8.6 GB | Very High | C44 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Upgrade options
Intel Arc B580 12GBBudget pick~$249 MSRP
RTX 3060 12GBBest value~$329 MSRP
RTX 3080 12GBBiggest leap~$799 MSRP
~$1,999 MSRP