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Apple M2 Ultra 24 Core
Apple · CPU

Apple M2 Ultra 24 Core — Benchmarks & Specs

Short answer: the Apple M2 Ultra 24 Core generates a median 91.5 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 4 cited runs from llama.cpp GitHub and GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference.

Bottom line: how fast is the Apple M2 Ultra 24 Core?

SpecPicks median: 91.5 tokens/sec across 4 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 76.3–94.3 tok/s), from llama.cpp GitHub (3 runs), GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference. For local LLM inference it generates 18.0 tokens/sec running mixtral:8x22b at q4_K_M under mlx, per Kunal Ganglani LLM Benchmarks. In PassMark CPU Mark it scores 50,892–50,950 points, across two PassMark results (PassMark CPU benchmark listing, PassMark CPU benchmark listing). Across all its cores it scores 27,095–28,730 points in Cinebench R23 multi, across three published results (mac studio with m2 ultra review, apple mac studio review, Tom's Hardware).

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; the SpecPicks median is computed here from the runs it names, each a row in the AI table. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The Apple M2 Ultra 24 Core is a processor from Apple. Data on this page draws on 14 synthetic benchmark results (top 10 shown), 14 community AI inference reports (top 12 shown), compiled from llama.cpp GitHub, GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference, Kunal Ganglani LLM Benchmarks, Tom's Hardware, PassMark, AppleInsider, Engadget, Geekbench Browser, XDA Developers; each table row links to its source. Read this page when shopping the Apple M2 Ultra 24 Core, comparing it against other processors in your build, or sizing it for a specific workload (synthetic benchmark scores or local LLM inference).

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 M2 Ultra 24 Core, in generated tokens per second for a single request (one user's generation speed). Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama:7b q4_0 llama.cpp 94.3 tok/s — llama.cpp GitHub Discussion #4167 2023-11-22
llama2:7b q4_0 llama.cpp 94.3 tok/s — llama.cpp GitHub 2023-08
llama2:7b q4_0 llama.cpp 88.6 tok/s — llama.cpp GitHub Discussions 2023-10
llama3:8b q4_K_M llama.cpp 76.3 tok/s — GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05
llama2:7b q8_0 llama.cpp 66.6 tok/s — llama.cpp GitHub 2023-08
llama:7b q8_0 llama.cpp 66.6 tok/s — llama.cpp GitHub Discussion #4167 2023-11-22
llama2:7b q8_0 llama.cpp 62.1 tok/s — llama.cpp GitHub Discussions 2023-10
llama2:7b FP16 llama.cpp 41.0 tok/s — llama.cpp GitHub 2023-08
llama:7b FP16 llama.cpp 41.0 tok/s — llama.cpp GitHub Discussion #4167 2023-11-22
mixtral:8x22b q4_K_M mlx 18.0 tok/s — Kunal Ganglani LLM Benchmarks 2024-08
llama3.1:70b q5_K_M mlx 13.0 tok/s — Kunal Ganglani LLM Benchmarks 2024-08
llama3:70b q4_K_M llama.cpp 12.1 tok/s — GitHub: XiongjieDai/GPU-Benchmarks-on-LLM-Inference 2024-05

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 M2 Ultra 24 Core — higher is better. Each row links to the public database the number was taken from. A benchmark listed more than once is separate published results, shown as published rather than averaged.
Benchmark Relative Score Source
PassMark CPU Mark 50,950 points PassMark retrieved 2026-08-03
PassMark CPU Mark 50,892 points PassMark Software retrieved 2026-06-02
Cinebench R23 multimac studio with m2 ultra review 28,730 points XDA Developers 2023-06-17
Cinebench R23 multiapple mac studio review 28,665 points Engadget 2023-06-12
Cinebench R23 multi 27,095 points Tom's Hardware 2023-06-05
Geekbench 6 multi 21,802 points Tom's Hardware 2023-06-12
Geekbench 6 multi 21,453 points AppleInsider 2023-06-13
Geekbench 6 multi 21,413 points Geekbench Browser retrieved 2026-06-02
PassMark CPU Mark single thread 4,208 points PassMark Software retrieved 2026-10-05
Geekbench 6 single 2,819 points Tom's Hardware 2023-06-12

Apple M2 Ultra 24 Core — Frequently Asked Questions

What is the Apple M2 Ultra 24 Core best used for?
Apple M2 Ultra 24 Core is a processor. Mainstream desktops and gaming builds are the typical workloads.
Where do the Apple M2 Ultra 24 Core benchmark numbers come from?
Each benchmark row on this page names its source (public benchmark databases such as TechPowerUp, PassMark, Geekbench and Cinebench, and community reports such as r/LocalLLaMA threads) and links to it, so every number can be checked against the original.
How many cores does the Apple M2 Ultra 24 Core have, and how does it benchmark?
Core and thread counts for Apple M2 Ultra 24 Core aren't on file. Synthetic benchmark results (PassMark CPU Mark, Cinebench, Geekbench) are in the Synthetic Benchmarks section.
Where can I buy the Apple M2 Ultra 24 Core?
No verified listing for this exact part is on file yet. The Compare tool and the /benchmarks index cover adjacent parts that are in stock.

Buying guides that rank the Apple M2 Ultra 24 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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