Apple M2 — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook Air and Mac mini.

Technical Specifications

VRAM	24 GB unified memory
Memory Bandwidth	100 GB/s
TDP	20 W
Architecture	ARM, 5nm TSMC
Release Year	2022
MSRP at Launch	$1,099
Inference Speed (Llama 3.1 8B Q4_K_M)	6.4–13 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	Does not fit — needs ~44 GB of 18 GB usable

Buy This HardwareApple Mac mini M2 — 24 GB VRAM · 20 W board power Deploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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Apple Mac mini M2

24 GB VRAM · 20 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

LLMs Compatible with 24 GB Unified Memory

All models below run comfortably in 24 GB unified memory with Q4_K_M quantization.

Llama 3.1 Family	Llama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · `ollama run llama3.1`
Llama 3.2 Family	Llama 3.2 11B Vision Instruct · 7 GB VRAM · Q4_K_M · llama-3-2
Qwen 2.5 Family	Qwen 2.5 Coder 32B · 20 GB VRAM · Q4_K_M · `ollama run qwen2.5-coder:32b`
Gemma 2 Family	Gemma 2 9B IT · 6 GB VRAM · Q4_K_M · `ollama run gemma2`
Phi-4 Mini	Phi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · `ollama run phi4-mini`
Mistral Family	Mistral Small 3 (24B) · 15 GB VRAM · Q4_K_M · `ollama run mistral-small`
SmolLM2	SmolLM2 1.7B Instruct · 2 GB VRAM · Q4_K_M · `ollama run smollm2:1.7b`
Qwen3.8	Qwen3.8 27B · 18 GB VRAM · Q4_K_M · `ollama run qwen3.8:27b`

Best Use Cases

8B models (Q4)
MacBook Air
entry-level

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.2:3b

FAQ

Can the Apple M2 run local LLMs?

Yes — the Apple M2 has 24 GB unified memory and runs Up to 24 GB unified memory at 100 GB/s. Comfortably fits 7–8B models at Q4 with room for the OS. Common in the MacBook A

How fast is the Apple M2 for AI inference?

The Apple M2 is estimated to run Llama 3.1 8B at 6.4–13 tok/s with Q4_K_M quantization. Llama 3.3 70B does not fit: it needs about 44 GB against 18 GB usable. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 24 GB VRAM?

With 24 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.2:3b.

Can I Run It? — Apple M2

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VRAM Tier

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Buying Guide

Best GPU Buyer Guide 2026

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