Apple M5 Pro — Local LLM Performance & Compatibility

Up to 64 GB unified memory at 307 GB/s — double the memory ceiling of the M4 Pro. Released March 2026 in the MacBook Pro 14"/16". Comfortably fits 32B models at Q4.

Technical Specifications

VRAM64 GB unified memory
Memory Bandwidth307 GB/s
TDP30 W
ArchitectureARM, 3nm TSMC
Release Year2026
MSRP at Launch$1,999
Inference Speed (Llama 3.1 8B Q4_K_M)~78 tokens/sec

LLMs Compatible with 64 GB Unified Memory

All models below run comfortably in 64 GB unified memory with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.324 GB VRAM · Q2_K_XS (Tight) · ollama run llama3.3
Qwen 320 GB VRAM · Q4_K_M · ollama run qwen3:32b
Qwen3-Coder8 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4
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 Small 3.114 GB VRAM · Q4_K_M · ollama run mistral-small3.1

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 Pro run local LLMs?

Yes — the Apple M5 Pro has 64 GB unified memory and runs Up to 64 GB unified memory at 307 GB/s — double the memory ceiling of the M4 Pro. Released March 2026 in the MacBook Pro

How fast is the Apple M5 Pro for AI inference?

The Apple M5 Pro runs Llama 3.1 8B at ~78 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 64 GB VRAM?

With 64 GB you can run: Llama 3.1 Family, Llama 3.3, Qwen 3, Qwen3-Coder, Gemma 3. Use Ollama for the easiest setup: ollama run qwen3:14b.

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