AMD Ryzen AI processor (SKU not stated) vs Axelera Metis Embedded 113m M.2 card
Axelera Metis Embedded 113m M.2 card is faster in all 3 like-for-like comparisons (largest gap: object detection, 14.74×).
| AMD Ryzen AI processor (SKU not stated) | Axelera Metis Embedded 113m M.2 card | |
|---|---|---|
| Best object detection | 144 FPS D 2025-12-17 (page last edited) | 3004 FPS C 2026-10-15 (page last edited) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 5 of 7 |
Best published object detection 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 645 FPS throughput · b=1 | YOLOv5s INT8 · Voyager SDK (GStreamer pipeline) · small (YOLO-s) | 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) |
| AMD Ryzen AI processor (SKU not stated) | 43.76 FPS latency_e2e · b=1 | YOLOv8s-worldv2 A16W8 · ONNX Runtime + Vitis AI EP (Ryzen AI SW), Quark A16W8 AdaRound · small (YOLO-s) | D | unknown power n/a no power published | AMD technical article: Deploying object detection model on AMD AI PC 2026-01-23 (page last edited) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 240 FPS throughput · b=1 | YOLOv5m INT8 · Voyager SDK (GStreamer pipeline) · medium (YOLO-m) | 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) |
| AMD Ryzen AI processor (SKU not stated) | 48.20 FPS throughput · b=1 | yolov8m XINT8 · Ryzen AI SW (ONNX Runtime, Vitis AI EP) run_inference.py --benchmark · medium (YOLO-m) | D | unknown power n/a no power published | AMD RyzenAI-SW YOLOv8m example (README benchmark table) 2026-08-11 (published) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 1337 FPS throughput · b=1 | YOLOv7-tiny INT8 · Voyager SDK (GStreamer pipeline) · unknown | 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) |
| AMD Ryzen AI processor (SKU not stated) | 144 FPS latency · b=1 | Yolo face v8n-v2 (AMD custom single-class YOLO) A8W8 (Quark) · ONNX Runtime + Vitis AI EP (Ryzen AI SW) · unknown | D | unknown power n/a no power published | AMD technical article: AI inference acceleration on Ryzen AI with Quark (Table 5) 2025-12-17 (page last edited) |
instance segmentation
Only Axelera Metis Embedded 113m M.2 card has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 186 FPS throughput · b=1 | YOLACT-ResNet50 INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN | 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) |
AMD Ryzen AI processor (SKU not stated):
No published instance segmentation results for AMD Ryzen AI processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Axelera Metis Embedded 113m M.2 card has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 746 FPS throughput · b=1 | YOLOv8n-pose INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n) | 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) |
AMD Ryzen AI processor (SKU not stated):
No published pose estimation results for AMD Ryzen AI processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
Only Axelera Metis Embedded 113m M.2 card has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 4257 FPS throughput · b=1 | MobileNetV4-small INT8 · Voyager SDK (GStreamer pipeline) · mobile-class CNN | 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) |
AMD Ryzen AI processor (SKU not stated):
No published image classification results for AMD Ryzen AI processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
Only Axelera Metis Embedded 113m M.2 card has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Embedded 113m M.2 card | 294 FPS throughput · b=1 | YOLO26n-sem INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n) | 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) |
AMD Ryzen AI processor (SKU not stated):
No published semantic segmentation results for AMD Ryzen AI processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card 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 processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for AMD Ryzen AI processor (SKU not stated) or Axelera Metis Embedded 113m M.2 card yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
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.