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Apple M2 Pro (19c GPU, 32GB)

Name: Apple M2 Pro (19c GPU, 32GB)
Brand: Apple
SKU: apple-m2-pro

Curated Aggregate·2024-08-143 workloads · 3 records

MyAI RatingNot scoredInsufficient comparison evidence

VRAM

32 GB

TDP

45 W

MSRP

$2.0k

Perf/W

0.44 tok/s/W

Cost/1K tok

$0.0011/k

Tested

2024-08-14

Quick answer

How fast is Apple M2 Pro (19c GPU, 32GB) for local AI workloads?

Apple M2 Pro (19c GPU, 32GB) has a source-attributed result of 20.0 tok/s on Llama 3 8B 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.

Verdict

Apple M2 Pro (19c GPU, 32GB) with 32GB VRAM at 45W TDP, scored across 3 workloads with 3 benchmark records.

Reference workload

Llama 3 8B Q4

20 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

Benchmarks (3 workloads)

Workload	Score	Quant	Context	σ	Status	Tested
Llama 3 8B Q4 llm	20.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-08-14
Mistral 7B llm	24.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-03-30
Phi-3 Mini llm	54.0tok/s	Q4_K_M	4K	,	Curated Aggregate	2024-05-26

MyAI Score: not scored

There is insufficient comparable evidence to score Apple M2 Pro (19c GPU, 32GB). A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.

Workload Fit

Planning estimates for 32GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.

FP16

7-8B

Excellent

13-14B

Excellent

Tight

32B

Excellent

Won't fit

70B

Won't fit

Reported batch-one examples

Llama 3 8B Q420 tok/s

Phi-3 Mini54 tok/s

Mistral 7B24 tok/s

Source

Community-submitted llama.cpp Metal.

View source How we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

Not scored

Runs

Not documented

Freshness

Stale

Source-linked row with explicit verification status.

Record date: 2024-08-14; 756 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.