Apple SiliconApple

Apple Mac mini M4 Pro 48GB

Curated Aggregate·2024-12-106 workloads · 6 records
MyAI RatingNot scoredInsufficient comparison evidence

VRAM

48 GB

TDP

35 W

MSRP

$2.0k

Perf/W

0.19 tok/s/W

Cost/1K tok

$0.0033/k

Tested

2024-12-10

Quick answer

How many tokens per second does Apple Mac mini M4 Pro 48GB produce on Llama 3 70B Q4?

Apple Mac mini M4 Pro 48GB has a source-attributed result of 6.5 tok/s on Llama 3 70B Q4 (batch 1, 4096-token context, Q4_K_M; runtime not documented). This is a reference report, not an independently verified lab result. A 70B Q4_K_M artifact needs roughly 40GB for weights alone; smaller memory configurations require explicit offload or model splitting and do not establish full-GPU residency.

Source: MyAIHardware benchmark database (bench-mac-mini-m4pro-48gb-l3-70b-q4)As of 2024-12-10

Overview

Efficient Desktop

Apple Mac mini M4 Pro 48GB — compact desktop with M4 Pro chip (14-core CPU, 20-core GPU, 16-core Neural Engine). 48GB unified LPDDR5X at 273 GB/s, 35W typical. Apple's most power-efficient AI desktop.

AI Usefulness

48GB unified memory runs 32B Q4 comfortably, 70B Q4 with tight context at ~15-20 tok/s via MLX. The 35W power envelope makes it the most efficient AI desktop available — silent operation, negligible electricity cost. Best for: Mac-native developers, privacy-first AI workloads, and users who value silence + efficiency over raw token generation speed.

Verdict

Apple Mac mini M4 Pro 48GB with 48GB VRAM at 35W TDP, scored across 6 workloads with 6 benchmark records.

Reference workload

DeepSeek-R1 7B

32 tok/s

Quantization

Q4_K_M

16K context · batch 1

LLM Inference Performance

010203040Llama 370B Q4Qwen 2.514BDeepSeek-R17BMistral 7BGemma 29B

Benchmarks (6 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 70B Q4

llm

6.5tok/sQ4_K_M4K, Curated Aggregate2024-12-10
Qwen 2.5 14B

llm

18.0tok/sQ4_K_M8K, Curated Aggregate2024-12-14
Whisper transcription

audio

18.0x RTFP16, , Curated Aggregate2024-12-18
DeepSeek-R1 7B

llm

32.0tok/sQ4_K_M16K, Curated Aggregate2026-05-26
Mistral 7B

llm

38.0tok/sQ4_K_M4K, Curated Aggregate2024-12-22
Gemma 2 9B

llm

28.0tok/sQ4_K_M8K, Curated Aggregate2025-01-08

MyAI Score: not scored

There is insufficient comparable evidence to score Apple Mac mini M4 Pro 48GB. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.

Workload Fit

Planning estimates for 48GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.

Q4
Q8
FP16
7-8B
Excellent
Excellent
Excellent
13-14B
Excellent
Excellent
Excellent
32B
Excellent
Excellent
Won't fit
70B
Good
Won't fit
Won't fit
Reported batch-one examples
DeepSeek-R1 7B32 tok/s
Gemma 2 9B28 tok/s
Mistral 7B38 tok/s

Source

MLX 0.21 + macOS 15.4.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

Not scored

Runs

Not documented

Freshness

Aging

Source-linked row with explicit verification status.

Record date: 2026-05-26; 106 days old.

Open primary source

Best place to start

Where to buy

Search first

Retailer we'd check first

Amazon search

Amazon is a fast way to check live availability, but memory tier and exact SKU matter more than the first visible price.

Search Amazon listings
  • +Cross-check the current ask against $2.0k and any reputable open-box or used options.
  • +Verify RAM, storage, and chip binning carefully. Small spec differences change AI usability dramatically.
  • +If you plan long 24/7 inference runs, warranty and thermals matter more than a tiny discount.

There is insufficient comparable evidence for a purchase recommendation. Check model fit, software support and a current seller quote.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.