Intel Arc B580 12GBBudget pickC44.9 tok/s decode
~$249 MSRP
Can it run?
Too heavy
Using Q4_K_M in Ollama
Fit status
Too heavy
Decode
11.2 tok/s
TTFT
17215 ms
Safe context
8K
Memory
7.7 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 11.2 tok/s | 25040 ms | 14K |
| Chat | F | Too heavy | 11.2 tok/s | 9390 ms | 4K |
| Coding | F | Too heavy | 11.2 tok/s | 17215 ms | 8K |
| RAG | F | Too heavy | 11.2 tok/s | 31300 ms | 14K |
| Reasoning | F | Too heavy | 11.2 tok/s | 20345 ms | 8K |
How Meta Llama 3 8B Instruct (8B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | C44 |
Q3_K_S | 3 | 3.9 GB | Low | C44 |
NVFP4 | 4 | 4.5 GB | Medium | F0 |
Q4_K_M | 4 | 4.9 GB | Medium | F0 |
Q5_K_M | 5 | 5.8 GB | High | F0 |
Q6_K | 6 | 6.6 GB | High | F0 |
Q8_0 | 8 | 8.6 GB | Very High | F0 |
F16 | 16 | 16.4 GB | Maximum | F0 |
Upgrade options
Intel Arc B580 12GBBudget pick~$249 MSRP
~$269 MSRP
RTX 3080 12GBBiggest leap~$799 MSRP
Intel Arc Pro A60 12GBIntel upgrade