MicrosoftPhi-3 Medium 14B Instruct on Apple M3 Pro (18GB Unified)
M3 Pro (18GB Unified) runs Phi-3 Medium 14B Instruct at Q3_K_M — 6 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
14B
Device VRAM
18 GB
Bandwidth
150 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Phi-3 Medium 14B Instruct on Apple M3 Pro (18GB Unified) at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 6 tok/s | 1400ms | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
Fits at Q3. Very slow at 150 GB/s. Marginal for reasoning tasks.
About Phi-3 Medium 14B Instruct
Phi-3 Medium 14B Instruct (14B) is a chat, coding, reasoning, multi-purpose model. 14B model with capable reasoning and coding performance. Fits comfortably on 16 GB GPUs at Q4 and excels at structured output tasks. MIT license makes it attractive for commercial use.
View all Phi-3 Medium 14B Instruct hardware options →About Apple M3 Pro (18GB Unified)
Apple M3 Pro (18GB Unified) has 18 GB at 150 GB/s. Available in MacBook Pro 14", MacBook Pro 16".
See all models Apple M3 Pro (18GB Unified) can run →Estimate method: MLX performance estimates. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.