Side-by-side simulation · recommended settings
Ryzen AI Max+ 395 128GB vs Mac Studio 128GB comparison
If you prioritize Windows/Linux compatibility and price, Ryzen AI Max+ is advantageous, and if you prioritize memory bandwidth and MLX completeness, Mac Studio is advantageous.
Choose devices and a model
Expand comparison settings
Same 117output tokens. Only evidence-qualified acceleration is selected automatically; runtime formats are shown on each device.
Left
ReadyRyzen AI Max+ 395 128GB
Press Start above to generate the same answer on both devices.
Right
ReadyStudio M4 Max 128GB
Press Start above to generate the same answer on both devices.
With these settings, Ryzen AI Max+ 395 128GB finishes the full answer About 1.8× faster.
Compare from input processing to completion of 117 token response.
Which one fits my needs?
Answer completion
Ryzen AI Max+ 395 128GB
At the estimate midpoint, it finishes the same answer about 1.8× faster.
Prompt processing
Ryzen AI Max+ 395 128GB
The estimated input-processing midpoint is higher at 1,265 tok/s.
Image and video generation
Check the media model
LLM speed does not tell you media-generation performance. Choose the image or video model and resolution separately.
Runtime
Settings for your hardware
Strata 0.1.40 · IQ3_S · ROCm 7.14.1 · MTP-4 / MLX 4-bit. When runtime paths differ, the speed gap also includes software and model-format differences.
Estimated power draw
Ryzen AI Max+ 395 128GB
Estimated LLM power draw is lower at about 125 W. Noise and physical size need a separate check.
Local pricing
While Ryzen AI Max+ 395 128GB is about 284 × KRW 10,000 cheaper, this model's response is also faster.
Before choosing hardware
| Measure | Ryzen AI Max+ 395 128GB | Studio M4 Max 128GB |
|---|---|---|
| Available fast memory | 96GB | 114GB |
| Memory bandwidth | 256GB/s | 546GB/s |
| Estimated total time | 5.2 s | 9.4 s |
| Estimated sustained LLM load | about 125W | about 130W |
| Korean price range (KRW) | 538–562 × KRW 10,000 | 780–888 × KRW 10,000 |
Estimated ranges for one user. Multi-GPU and multi-device results depend on the runtime and interconnect.
