C89.7 tok/s decode
~$249 MSRP
Can it run?
Tight fit
Using Q4_K_M in Ollama
Fit status
Tight fit
Decode
56.7 tok/s
TTFT
3417 ms
Safe context
19K
Memory
5.0 GB / 6.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 38.6 tok/s | 7303 ms | 35K |
| Chat | C | Tight fit | 38.6 tok/s | 2739 ms | 10K |
| Coding | C | Tight fit | 56.7 tok/s | 3417 ms | 19K |
| RAG | C | Tight fit | 38.6 tok/s | 9129 ms | 35K |
| Reasoning | C | Tight fit | 38.6 tok/s | 5934 ms | 19K |
How gemma 3 4b it (4B params) fits at each quantization level on Intel Arc Pro A40 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | D35 |
Q3_K_S | 3 | 2.0 GB | Low | D37 |
NVFP4 | 4 |
Upgrade options
~$249 MSRP
~$269 MSRP
~$289 MSRP
2.2 GB |
| Medium |
| D37 |
Q4_K_M | 4 | 2.4 GB | Medium | D38 |
Q5_K_M | 5 | 2.9 GB | High | D40 |
Q6_KBest for your GPU | 6 | 3.3 GB | High | C41 |
Q8_0 | 8 | 4.3 GB | Very High | C44 |
F16 | 16 | 8.2 GB | Maximum | F0 |