Apple M3 (16 GB)

Apple M3

Unified memory: 16 GB
Memory bandwidth: 100 GB/s
Class: Apple

Figures assume the 16 GB unified memory pool shared between CPU and GPU. "What runs on it" is judged at a 8,192-token context. Speeds are estimates, not measurements.

What runs on it

Model	Sweet-spot quant	Est. speed	Community
DeepSeek-R1-Distill-Llama-8B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	10–13 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	44–59 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-14B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	6–8 tok/s (estimate)	no community data
DeepSeek-R1-Distill-Qwen-7B deepseek-ai	Q4_K_M Runs fully on GPU @ 8K ctx	12–16 tok/s (estimate)	no community data
Mistral-Small-3.2-24B-Instruct-2506 mistralai	Q4_K_M Runs fully on GPU @ 8K ctx	4–6 tok/s (estimate)	no community data
Qwen2.5-7B-Instruct Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	5–7 tok/s (estimate)	no community data
Qwen3-8B Qwen	Q4_K_M Runs fully on GPU @ 8K ctx	10–13 tok/s (estimate)	no community data
gemma-4-12B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	8–11 tok/s (estimate)	no community data
gemma-4-E2B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	19–26 tok/s (estimate)	no community data
gemma-4-E4B-it google	Q4_K_M Runs fully on GPU @ 8K ctx	12–16 tok/s (estimate)	no community data
gpt-oss-20b openai	F16 Runs fully on GPU @ 8K ctx	17–23 tok/s (estimate)	no community data

"Est. speed" is a modelled range labelled estimate (D8) for generation (decode) throughput. "Community" shows the median of approved user-submitted reports on this GPU class only where enough exist — never an estimate. "pp" is measured prompt-processing (ingestion) throughput from approved community reports; rows without a measurement show none.