Apple M5 — Local LLM Performance & Compatibility

First Mac chip with a Neural Accelerator in every GPU core. Up to 32 GB unified memory at 153 GB/s — 28% more bandwidth than M4. Launched October 2025 in the MacBook Pro 14".

Technical Specifications

VRAM32 GB unified memory
Memory Bandwidth153 GB/s
TDP23 W
ArchitectureARM, 3nm TSMC
Release Year2025
MSRP at Launch$1,599
Inference Speed (Llama 3.1 8B Q4_K_M)~50 tokens/sec

LLMs Compatible with 32 GB Unified Memory

All models below run comfortably in 32 GB unified memory with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.2 Family8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b
Qwen 320 GB VRAM · Q4_K_M · ollama run qwen3:32b
Gemma 316 GB VRAM · Q4_K_M · ollama run gemma3:27b
Phi-4 Family10 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family16 GB VRAM · Q4_K_M · ollama run mistral-small
DeepSeek R120 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the Apple M5 run local LLMs?

Yes — the Apple M5 has 32 GB unified memory and runs First Mac chip with a Neural Accelerator in every GPU core. Up to 32 GB unified memory at 153 GB/s — 28% more bandwidth

How fast is the Apple M5 for AI inference?

The Apple M5 runs Llama 3.1 8B at ~50 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 32 GB VRAM?

With 32 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 3, Gemma 3, Phi-4 Family. Use Ollama for the easiest setup: ollama run qwen3:14b.

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