MetaLlama 3.2 11B Vision on Apple M1 (16GB Unified)
M1 (16GB Unified) runs Llama 3.2 11B Vision at Q8_0 — 4 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
11B
Device VRAM
16 GB
Bandwidth
68.25 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 11B Vision on Apple M1 (16GB Unified) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 4 tok/s | – | ✓ Yes | Marginal | estimated |
Notes
Q8_0
Conservative estimate anchored to existing Apple Silicon results. Memory bandwidth and quantization size are the primary inference limiters.
About Llama 3.2 11B Vision
Llama 3.2 11B Vision (11B) is a chat, reasoning, multi-purpose model. Meta's first multimodal Llama model. Handles both text and image inputs. At 11B parameters, fits comfortably on 16GB GPUs at Q4. Vision capabilities are useful for image understanding tasks but text quality is comparable to Llama 3.1 8B, not 70B.
View all Llama 3.2 11B Vision hardware options →About Apple M1 (16GB Unified)
Apple M1 (16GB Unified) has 16 GB at 68.25 GB/s. Available in MacBook Air 13" (2020), MacBook Pro 13" (2020).
See all models Apple M1 (16GB Unified) can run →Estimate method: Conservative estimate anchored to m4-16gb with bandwidth scaling, quantization-size adjustment, and generation damping. Reference hardware source: github.com (2026-04-18)
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.