AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) vs Axelera Metis Edge 130p PCIe card (16GB)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 4.54×).
| AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) | Axelera Metis Edge 130p PCIe card (16GB) | |
|---|---|---|
| Best LLM generation | 94.64 tok/s C 2026-10-02 (page last edited) | 33.80 tok/s C 2026-10-15 (page last edited) |
| Power | 120 W spec | n/a |
| Perf / W | 0.789 tok/s/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 1 of 7 |
Best published LLM generation result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) | 476 FPS inference_time · b=1 | YOLO26n FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · nano (YOLO-n) | B | 120 W spec platform spec envelope (not measured with this result) | Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited) |
Axelera Metis Edge 130p PCIe card (16GB):
No published object detection results for Axelera Metis Edge 130p PCIe card (16GB) or AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
No published instance segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Axelera Metis Edge 130p PCIe card (16GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
No published pose estimation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Axelera Metis Edge 130p PCIe card (16GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
No published image classification results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Axelera Metis Edge 130p PCIe card (16GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Axelera Metis Edge 130p PCIe card (16GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
speech-to-text
No published speech-to-text results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Axelera Metis Edge 130p PCIe card (16GB) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) CPU-only | 11.37 tok/s generation_throughput · b=1 | DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B | C | 140 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (page last edited) |
| Axelera Metis Edge 130p PCIe card (16GB) | 2.70 tok/s generation_throughput · b=1 | qwen3-8b not stated · Voyager SDK model_axscript.llm · LLM 5–14B | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) | 88.14 tok/s generation_throughput · b=1 | Llama 3.2:3b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM ≤4B | C | 133 W measured reported in result source — measured | Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (page last edited) |
| Axelera Metis Edge 130p PCIe card (16GB) | 19.40 tok/s generation_throughput · b=1 | qwen3-0.6b not stated · Voyager SDK model_axscript.llm · LLM ≤4B | C | unknown power n/a no power published | Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited) |
How to read these numbers
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.