M5 Max vs Ryzen AI Max+ 395 for local AI.

The M5 Max reads memory about 140% faster than the Ryzen AI Max+ 395 (614 vs 256 GB/s), so it writes about 140% faster with any model that fits both. Both have about 96 GB for models.

M5 Max460–614 GB/sup to 128 GB · 47 models run wellRyzen AI Max+ 395256 GB/sup to 128 GB · 39 models run well

Side by side

M5 MaxRyzen AI Max+ 395
What it isMacBook Pro (14-inch, M5 Pro or M5 Max), MacBook Pro (16-inch, M5 Pro or M5 Max), Mac Studio (M5 Max or M5 Ultra)A complete small computer
Memory sizes36, 48, 64, 128 GB128 GB
Memory bandwidth460–614 GB/s256 GB/s
For models, at mostabout 96 GBabout 96 GB
Models that run well47 of 7339 of 73
Measured: writing120 tok/s54 tok/s
Measured: reading a prompt3,220 tok/s1,289 tok/s

Measured rows: each machine’s fastest result in llama.cpp’s public benchmarks with Llama 2 7B Q4_0, writing 128 tokens (tg128) and reading a 512-token prompt (pp512), in tokens a second. The Mac ran Metal, the Ryzen AI Max+ 395 Vulkan. Apple Silicon results · Ryzen AI Max+ 395 results For models we count about 75% of memory on both, the macOS default, because the Ryzen AI Max+ 395 also shares one memory pool between its CPU and GPU. How much its GPU may really use depends on its operating system and settings.

Where each one wins

  • Writing speed. The M5 Max reads memory about 140% faster than the Ryzen AI Max+ 395 (614 vs 256 GB/s), so it writes about 140% faster with any model that fits both.
  • Model size. Both have about 96 GB for models. 47 of 73 popular open models run well on the M5 Max, 39 on the Ryzen AI Max+ 395.
  • Reading long prompts. In llama.cpp’s measured test the M5 Max reads a prompt about 2.5× as fast (3,220 vs 1,289 tokens a second). Reading a prompt depends on GPU compute rather than memory bandwidth, so this sets the wait before the first word with a long document or codebase.
  • Software. The Ryzen AI Max+ 395 runs Windows or Linux, and llama.cpp runs on its GPU with Vulkan. Software that needs NVIDIA’s CUDA runs on neither machine.
  • Around it. Both are complete computers that keep the model in one memory pool shared by the CPU and GPU.
  • The Mac. It’s also an everyday computer, and it runs MLX Harness and MLX Node, which are made for Apple Silicon.

Speed with popular models

Tokens a second for one conversation, each chip at its largest memory size (128 GB and 128 GB), with the best version of the model that fits.

ModelM5 MaxRyzen AI Max+ 395
Llama 3.1 8B Instruct8B33–58 8-bit14–24 8-bit
gpt-oss-20b21B · 3.6B active145–259 native 4.25-bit61–108 native 4.25-bit
Qwen3.6 35B A3B35B · 3B active86–154 8-bit36–64 8-bit
Qwen3.8 27B27B10–17 8-bit4–7 8-bit
Llama 3.3 70B Instruct70B4–7 8-bit2–3 8-bit
gpt-oss-120b117B · 5.1B active102–182 native 4.25-bit43–76 native 4.25-bit
Qwen3.5 122B A10B122B · 10B active49–88 4-bit21–37 4-bit
DeepSeek V4 Flash 0731284B · 13B active67–120 2-bit lower quality28–50 2-bit lower quality

Questions

Is the Ryzen AI Max+ 395 faster than the M5 Max for LLMs?
The M5 Max reads memory about 140% faster than the Ryzen AI Max+ 395 (614 vs 256 GB/s), so it writes about 140% faster with any model that fits both. In llama.cpp’s measured test the M5 Max reads a prompt about 2.5× as fast (3,220 vs 1,289 tokens a second). Reading a prompt depends on GPU compute rather than memory bandwidth, so this sets the wait before the first word with a long document or codebase.
Which can run bigger models, the M5 Max or the Ryzen AI Max+ 395?
Both have about 96 GB for models. 47 of 73 popular open models run well on the M5 Max, 39 on the Ryzen AI Max+ 395.
Can MLX Node run on the Ryzen AI Max+ 395?
No. MLX Node and MLX Harness run on Apple Silicon Macs only, with Apple’s MLX framework.

More comparisons

The M5 Max for local AI · Compare every model · The best Mac for local LLMs

How it’s worked out

Memory: the model’s parameters at 8, 6, 4, 3 or 2 bits per weight plus MLX’s group scales (half a bit per weight), or its native format, with room for the context on top. By default macOS lets the GPU use about 75% of unified memory. Speed: memory bandwidth divided by the bytes read per token is the ceiling for one conversation; in llama.cpp’s public Apple Silicon benchmarks real runs reach about 45% to 80% of it, which is the range shown. These are estimates, not measurements: measure your own Mac on MLX Bench. Model figures from each official model card, chip figures from Apple’s Tech Specs. Checked 2026-10-19. Same data as mlx.app/compare.

The Ryzen AI Max+ 395’s bandwidth is worked out from AMD’s bus width and memory speed, as AMD doesn’t state it in GB/s. Ryzen AI Max+ 395 figures: AMD: Ryzen AI Max+ 395, Framework: Desktop specs, Framework: Desktop DIY configurator (32/64/128 GB).

M5 Max vs Ryzen AI Max+ 395 for local LLMs: memory, speed, which to buy