MacBook Pro M3 Pro 18GBBudget pick
C109.5 tok/s decode
~$1,999 MSRP
Can it run?
Runs well
Using F16 in Ollama
Fit status
Runs well
Decode
328.3 tok/s
TTFT
590 ms
Safe context
8K
Memory
3.3 GB / 12.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 218.9 tok/s | 1287 ms | 8K |
| Chat | C | Runs well | 218.9 tok/s | 482 ms | 8K |
| Coding | C | Runs well | 328.3 tok/s | 590 ms | 8K |
| RAG | C | Runs well | 218.9 tok/s | 1608 ms | 8K |
| Reasoning | C | Runs well | 218.9 tok/s | 1045 ms | 8K |
How Nomic Embed Text v1.5 (0.13699999451637268B params) fits at each quantization level on Intel Arc B580 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.1 GB | Low | D29 |
Q3_K_S | 3 | 0.1 GB | Low | D29 |
NVFP4 | 4 |
ollama run nomic-embed-text-v1.5huggingface-cli download nomic-embed-text-v1.5Upgrade options
~$1,999 MSRP
0.1 GB |
| Medium |
| D29 |
Q4_K_M | 4 | 0.1 GB | Medium | D29 |
Q5_K_M | 5 | 0.1 GB | High | D29 |
Q6_K | 6 | 0.1 GB | High | D29 |
Q8_0 | 8 | 0.1 GB | Very High | D29 |
F16Best for your GPU | 16 | 0.3 GB | Maximum | D30 |