all-MiniLM-L6-v2 on Apple M3 Pro (18GB Unified)
Yes — M3 Pro (18GB Unified) handles all-MiniLM-L6-v2 well at FP16 — 1200 tok/s. Solid daily-driver performance on 18 GB VRAM.
Model Size
23M
Device VRAM
18 GB
Bandwidth
150 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for all-MiniLM-L6-v2 on Apple M3 Pro (18GB Unified) at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | 1200 tok/s | 25ms | ✓ Yes | Good | estimated |
Notes
FP16
Lightweight embeddings. Good for concurrent use with coding models.
About all-MiniLM-L6-v2
all-MiniLM-L6-v2 (23M) is a embeddings, ai building model. Ultra-lightweight embedding model at 23M params. Fastest option for local embeddings. Lower quality than nomic-embed but practically free in VRAM. Ideal when running alongside large coding models and every MB of VRAM matters. The tiny model for builders who need RAG without the VRAM cost.
View all all-MiniLM-L6-v2 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.