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Apple M1 Max 10 Core 3200 MHz
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Apple M1 Max 10 Core 3200 MHz — Benchmarks & Specs

Bottom line: how fast is the Apple M1 Max 10 Core 3200 MHz?

At 1080p (High), the Apple M1 Max 10 Core 3200 MHz averages 60 fps in Cyberpunk 2077, per Notebookcheck. For local LLM inference it generates 61.2 tokens/sec running llama2:7b at q4_0 under llama.cpp, per llama.cpp GitHub Discussion #4167. In PassMark CPU Mark it scores 22,160 points, per PassMark.

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 M1 Max 10 Core 3200 MHz 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 M1 Max 10 Core 3200 MHz, 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 M1 Max 10 Core 3200 MHz 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 60 fps — Notebookcheck 2025-07-19
Baldur's Gate 3 1080p High 60 fps — MacGamingDB 2024-01-01
Cyberpunk 2077 1080p High 52 fps — GameGPU 2025-07-20
Cyberpunk 2077 1080p High 52 fps — TechSpot 2025-07-21

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 M1 Max 10 Core 3200 MHz, 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 61.2 tok/s — llama.cpp GitHub Discussion #4167 2023-11-01
llama2:7b q4_0 llama.cpp 61.2 tok/s — llama.cpp GitHub Discussion #4167 2023-10-01
llama3.1:8b q4_K_M ollama 42.0 tok/s — Kunal Ganglani LLM Benchmarks 2025-01-01
llama2:7b q8_0 llama.cpp 40.2 tok/s — llama.cpp GitHub Discussion #4167 2023-10-01
llama3:8b q4_K_M llama.cpp 34.5 tok/s — GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05-01
llama3:8b q4_K_M llama.cpp 34.5 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09-01
llama3:8b q4_K_M llama.cpp 34.5 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:8b FP16 llama.cpp 18.4 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3.1:70b q4_K_M ollama 4.5 tok/s — Kunal Ganglani LLM Benchmarks 2025-01-01
llama3:70b q4_K_M llama.cpp 4.1 tok/s — GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-05-01
llama3:70b q4_K_M llama.cpp 4.1 tok/s — XiongjieDai/GPU-Benchmarks-on-LLM-Inference (GitHub) 2024-09-01
llama3:70b q4_K_M llama.cpp 4.1 tok/s — GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05-01

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 M1 Max 10 Core 3200 MHz — higher is better. Each row links to the public database the number was taken from.
Benchmark Relative Score Source
PassMark CPU Mark 22,160 points PassMark 2026-07-03
PassMark CPU Mark 22,158 points PassMark Software 2026-06-03
Geekbench 6 multi 12,994 points Notebookcheck 2024-06-01
Cinebench R23 multi 12,390 points Notebookcheck 2021-11-01
Cinebench R23 multi 12,388 points Macworld 2022-04-18
Geekbench 6 multi 12,361 points Geekbench Browser 2024-01-01
PassMark Single Thread 3,831 points PassMark Software 2026-06-03
Geekbench 6 single 2,442 points Notebookcheck 2024-06-01
Geekbench 6 single 2,387 points Geekbench Browser 2024-01-01
Cinebench R23 single 1,538 points Macworld 2022-04-18

Apple M1 Max 10 Core 3200 MHz — Frequently Asked Questions

What is the Apple M1 Max 10 Core 3200 MHz best used for?
Apple M1 Max 10 Core 3200 MHz 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 M1 Max 10 Core 3200 MHz released, and what was its launch MSRP?
Release year and launch MSRP aren't on file for Apple M1 Max 10 Core 3200 MHz. 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 M1 Max 10 Core 3200 MHz compare to its predecessor?
Compare Apple M1 Max 10 Core 3200 MHz 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 M1 Max 10 Core 3200 MHz?
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.

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