Apple SiliconApple

Apple M4 (10c GPU, 24GB)

Curated Aggregate·2024-12-213 workloads · 3 records
MyAI RatingNot scoredInsufficient comparison evidence

VRAM

24 GB

TDP

22 W

MSRP

$1.6k

Perf/W

0.82 tok/s/W

Cost/1K tok

$0.94/M

Tested

2024-12-21

Quick answer

How fast is Apple M4 (10c GPU, 24GB) for local AI workloads?

Apple M4 (10c GPU, 24GB) has a source-attributed result of 18.0 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.

Source: MyAIHardware benchmark database (bench-m4-l3-8b-q4)As of 2024-12-21

Verdict

Apple M4 (10c GPU, 24GB) with 24GB VRAM at 22W TDP, scored across 3 workloads with 3 benchmark records.

Reference workload

Llama 3 8B Q4

18 tok/s

Quantization

Q4_K_M

4K context · batch 1

LLM Inference Performance

015304560Llama 3 8BQ4Mistral 7BPhi-3 Mini

Benchmarks (3 workloads)

WorkloadScoreQuantContextσStatusTested
Llama 3 8B Q4

llm

18.0tok/sQ4_K_M4K, Curated Aggregate2024-12-21
Mistral 7B

llm

22.0tok/sQ4_K_M4K, Curated Aggregate2024-11-22
Phi-3 Mini

llm

48.0tok/sQ4_K_M4K, Curated Aggregate2024-12-15

MyAI Score: not scored

There is insufficient comparable evidence to score Apple M4 (10c GPU, 24GB). A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.

Workload Fit

Planning estimates for 24GB: 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
Won't fit
32B
Good
Won't fit
Won't fit
70B
Won't fit
Won't fit
Won't fit
Reported batch-one examples
Llama 3 8B Q418 tok/s
Phi-3 Mini48 tok/s
Mistral 7B22 tok/s

Source

iPad/MacBook Air class M4 base.

View sourceHow 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: 2024-12-21; 627 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 $1.6k 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.