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Apple M3 Max 14 Core
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Apple M3 Max 14 Core — Benchmarks & Specs

Bottom line: how fast is the Apple M3 Max 14 Core?

At 1080p (High), the Apple M3 Max 14 Core averages 105 fps in Cyberpunk 2077, per GameGPU. For local LLM inference it generates 66.3 tokens/sec running llama2:7b at q4_0 under llama.cpp, per llama.cpp GitHub Discussion #4167. In PassMark CPU Mark it scores 36,303 points, per PassMark Software.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The Apple M3 Max 14 Core is a processor from Apple. Data on this page draws on 10 synthetic benchmark results, 12 community AI inference reports, 4 measured game frame-rate results, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the Apple M3 Max 14 Core, comparing it against other processors in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).

Gaming Performance (measured FPS)

Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.

Measured gaming frame rates for the Apple M3 Max 14 Core by game, resolution, and quality preset. “1% low” is the frame-time floor that determines perceived smoothness. Each row links to its original review or benchmark database.
Game Resolution Settings Relative Avg FPS 1% low Source
Cyberpunk 2077 1080p High 105 fps — GameGPU 2025-07-20
Cyberpunk 2077 1080p High FSR Quality 105 fps — Technetbook 2025-07-01
Baldur's Gate 3 1080p High 90 fps — MacRumors Forums 2024-01-01
Cyberpunk 2077 1080p High 78 fps — Technetbook 2025-07-01

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the Apple M3 Max 14 Core, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama2:7b q4_0 llama.cpp 66.3 tok/s — llama.cpp GitHub Discussion #4167 2023-11-24
llama3.1:8b q4_K_M ollama 58.0 tok/s — heyuan110.com 2026-04-14
llama3:8b q4_K_M llama.cpp 50.7 tok/s — GitHub (XiongjieDai/GPU-Benchmarks-on-LLM-Inference) 2024-07-01
llama3.1:8b q4_K_M llama.cpp 49.0 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3.1:8b q4_K_M ollama 46.0 tok/s — kunalganglani.com 2025-01-01
qwen2.5:14b q4_K_M ollama 33.0 tok/s — heyuan110.com 2026-04-14
llama3.1:13b q4_K_M ollama 30.0 tok/s — Local AI Master 2025-06-01
gemma4:27b q4_K_M llama.cpp 17.0 tok/s — Alexander Hiesch (hiesch.eu) 2026-05-06
llama3.1:70b q4_K_M llama.cpp 7.7 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:70b q4_K_M llama.cpp 7.5 tok/s — GitHub (XiongjieDai/GPU-Benchmarks-on-LLM-Inference) 2024-07-01
llama3.1:70b q4_K_M ollama 7.5 tok/s — heyuan110.com 2026-04-14
llama3.3:70b q4_K_M ollama 7.5 tok/s — heyuan110.com 2026-04-14

Synthetic Benchmarks

Higher is better. Bars are scaled within each benchmark family (multi-thread, single-thread, etc.) so you can compare like-with-like at a glance.

Synthetic benchmark scores for the Apple M3 Max 14 Core — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
PassMark CPU Mark 36,303 points PassMark Software 2026-06-02
Cinebench R23 multi 21,043 points Render4You Cinebench Database 2023-12-01
Cinebench R23 multi 21,043 points Render4You 2024-01-01
Cinebench R23 multi 21,043 points render4you.com 2024-01-01
Geekbench 6 multi 18,943 points Geekbench Browser 2023-11-01
Geekbench 6 multi 17,576 points Notebookcheck 2024-01-01
Geekbench 6 multi 17,576 points NotebookCheck 2023-12-13
PassMark CPU Mark single-thread 4,759 points PassMark Software 2026-06-02
PassMark Single-Thread 4,752 points PassMark Software 2024-06-01
PassMark CPU Mark Single Thread 4,751 points PassMark Software 2026-09-04

Apple M3 Max 14 Core — Frequently Asked Questions

What is the Apple M3 Max 14 Core best used for?
Apple M3 Max 14 Core is a processor. Use it for mainstream desktops and gaming-focused builds. Check the synthetic benchmark scores below for at-a-glance comparison.
When was the Apple M3 Max 14 Core released, and what was its launch MSRP?
Release year and launch MSRP aren't on file for Apple M3 Max 14 Core. Current pricing is visible on the linked Amazon product cards below.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
How does the Apple M3 Max 14 Core compare to its predecessor?
Compare Apple M3 Max 14 Core side-by-side against other processors on the Compare tool below. Synthetic benchmark scores let you place this SKU within its generation; the spec table shows the architectural and process-node differences from one generation to the next.
Where can I buy the Apple M3 Max 14 Core?
Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.

Buying guides that rank the Apple M3 Max 14 Core's class

This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.

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