Apple M4 Max — Benchmarks & Specs
Short answer: the Apple M4 Max generates a median 51.2 tokens/sec on 7-9B dense models at 4-bit (Q4) under llama.cpp, across 3 cited runs from llama.cpp GitHub Discussions, Markaicode and LocalLLaMA.
Bottom line: how fast is the Apple M4 Max?
SpecPicks median: 51.2 tokens/sec across 3 cited single-user runs of 7-9B dense models at 4-bit (Q4) under llama.cpp (range 16.9–83.1 tok/s), from llama.cpp GitHub Discussions, Markaicode, LocalLLaMA. For local LLM inference it generates 12.5 tokens/sec running llama3.1:70b at q4_K_M under llama.cpp on a machine with 128 GB of unified memory (46.2 GB peak use), per Markaicode. Unified memory is the binding constraint for local inference: the Apple M4 Max ships in configurations of up to 128 GB, per the manufacturer spec sheet, and a 70B model at q4_K_M needs roughly 42 GB for its weights alone (70B parameters at ~4.85 bits per weight, per llama.cpp), so it runs only on configurations with more unified memory than that. In PassMark CPU Mark it scores 43,971–44,003 pts, across three published results (PassMark CPU benchmark listing, Nanoreview/PassMark CPU benchmark listing, PassMark CPU benchmark listing). Across all its cores it scores 27,108–27,595 points in Cinebench R23 multi, across two published results (Notebookcheck, AppleInsider).
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 memory ceiling and the weight-size estimate are not table rows and link to their sources inline; 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.
*Price sourced from Amazon.com. Last updated 2026-10-21. Price and availability subject to change.
Read the full comparison → How to run Llama 3.1 70B on Apple M4 Max
The Apple M4 Max is a processor from the M4 family released in 2024 from Apple. Key on-paper specs include 16 CPU cores, 40 GPU cores, up to 128 GB of unified memory, 546 GB/s of memory bandwidth. Data on this page draws on 21 synthetic benchmark results (top 10 shown), 20 community AI inference reports (top 14 shown), 10 game frame-rate results, compiled from Notebookcheck, llama.cpp GitHub Discussions, LocalLLaMA, Markaicode, LLMCheck, AppleInsider, Geekbench Browser, PassMark, Tweaktown, MacGamingDB, Nanoreview/PassMark, Tom's Hardware; each table row links to its source. Read this page when shopping the Apple M4 Max, comparing it against other processors in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, synthetic benchmark scores, or local LLM inference).
Gaming Performance (reported FPS)
Average and 1% low frame rates by game, resolution, and quality preset. Bars are scaled against the fastest result on this page.
| Game | Resolution | Settings | Relative | Avg FPS | 1% low | Test GPU | Source |
|---|---|---|---|---|---|---|---|
| Cyberpunk 2077 | 2560x1600 | Ultra MetalFX Balanced | 110 fps | — | Not recorded | Tweaktown 2025-08-04 | |
| Baldur's Gate 3 | 1080p | Ultra | 99 fps | — | Not recorded | Notebookcheck 2024-12-11 | |
| Cyberpunk 2077 | 1080p | High | 96 fps | — | Not recorded | Notebookcheck 2025-11-20 | |
| Cyberpunk 2077 | 1080p | Ultra | 84 fps | — | Not recorded | Notebookcheck 2025-11-20 | |
| Baldur's Gate 3 | 1080p | High FSR Quality | 80 fps | — | Not recorded | MacGamingDB 2026-07-13 | |
| Cyberpunk 2077 | 2560x1600 | RT Medium RT on MetalFX Performance | 58 fps | — | Not recorded | Tweaktown 2025-08-04 | |
| Assassin's Creed Shadows | 1080p | High | 50 fps | — | Not recorded | Notebookcheck 2025-11-20 | |
| Cyberpunk 2077 | 1440p | RT Ultra RT on MetalFX | 37 fps | — | Not recorded | Notebookcheck 2025-11-20 | |
| Cyberpunk 2077 | 4K | Ultra MetalFX Quality | 34 fps | — | Not recorded | Notebookcheck 2025-11-20 | |
| Assassin's Creed Shadows | 1080p | Ultra High | 30 fps | — | Not recorded | Notebookcheck 2025-11-20 |
AI Inference Performance
Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.
| Model | Quantization | Relative | Tokens/sec | VRAM used | Source |
|---|---|---|---|---|---|
| llama3.1:8b | — llama.cpp | 1000.0 tok/s | — | llama.cpp GitHub Discussions 2024-11-18 | |
| qwen3.5:35b-a3b | q4_K_M mlx | 130.2 tok/s | 20.0 GB | markaicode.com 2026-07-10 | |
| llama2:7b | q4_0 llama.cpp | 83.1 tok/s | — | llama.cpp GitHub Discussion #4167 2024-11-15 | |
| Llama 3 8B | Q4 MLX | 64.0 tok/s | — | LLMCheck 2026-03 | |
| Mistral 7B | Q8 MLX | 55.0 tok/s | — | LLMCheck 2026-03 | |
| llama2:7b | q8_0 llama.cpp | 54.0 tok/s | — | llama.cpp GitHub Discussion #4167 2024-11-15 | |
| llama3.1:8b | q4_K_M llama.cpp | 51.2 tok/s | 5.3 GB | Markaicode 2026-05-25 | |
| Qwen 3 30B-A3B | Q4 MLX | 45.0 tok/s | — | LLMCheck 2026-03 | |
| qwen3.5:35b-a3b | q4_K_M ollama | 43.5 tok/s | 20.0 GB | markaicode.com 2026-07-10 | |
| llama2:7b | FP16 llama.cpp | 31.6 tok/s | — | llama.cpp GitHub Discussion #4167 2024-11-15 | |
| qwen3:0.6b | Q4 ollama | 31.0 tok/s | — | LocalLLaMA 2026-04-06 | |
| qwen3:97b | Q5 llama.cpp | 29.0 tok/s | — | LocalLLaMA 2026-04-13 | |
| llama3.1:8b | Q4 llama.cpp | 16.9 tok/s | — | LocalLLaMA 2026-04-20 | |
| llama3.1:70b | q4_K_M llama.cpp | 12.5 tok/s | 46.2 GB | Markaicode 2026-05-25 |
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.
| Benchmark | Relative | Score | Source |
|---|---|---|---|
| PassMark CPU Mark | 44,003 pts | PassMark retrieved 2026-04-20 | |
| PassMark CPU Mark | 44,002 points | Nanoreview/PassMark retrieved 2026-04-23 | |
| PassMark CPU Mark | 43,971 points | PassMark Software retrieved 2026-06-13 | |
| Cinebench R23 multi | 27,595 points | Notebookcheck 2024-12-11 | |
| Cinebench R23 multi | 27,108 points | AppleInsider 2024-11-22 | |
| Geekbench 6 Multi-Core | 26,675 points | Tom's Hardware 2024-11-02 | |
| Geekbench 6 multi | 26,629 points | AppleInsider 2024-11-22 | |
| Geekbench 6 multi | 25,760 points | Geekbench Browser retrieved 2026-07-13Same result reported by Notebookcheck | |
| Geekbench 6 Multi-Core (avg) | 25,724 points | Geekbench Browser retrieved 2026-04-23 | |
| PassMark CPU Mark single thread | 4,591 pts | PassMark retrieved 2026-04-20Same result reported by Nanoreview/PassMark |
Systems with the Apple M4 Max
Laptops and desktops that ship with the Apple M4 Max — whole systems, listed separately from the part itself.
Full Specifications
| CPU cores | 16 |
|---|---|
| GPU cores | 40 |
| Neural engine TOPS | 38 |
| Memory bandwidth | 546 GB/s |
| Max unified memory | 128 GB |
Source: apple.com
Apple M4 Max — Frequently Asked Questions
What is the Apple M4 Max best used for?
When was the Apple M4 Max released?
Where do the Apple M4 Max benchmark numbers come from?
How many cores does the Apple M4 Max have, and how does it benchmark?
Where can I buy the Apple M4 Max?
Buying guides that rank the Apple M4 Max's class
This page is the raw performance data. The guides below turn it into a ranked pick for a specific build.
Editorial guides covering the Apple M4 Max
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- How to run Llama 3.1 8B on Apple M3 Ultra
- How to run Llama 3.1 70B on Apple M4 Max
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