HWBench

Axelera Metis Edge 130p PCIe card vs NVIDIA Jetson Orin Nano Super

Axelera Metis Edge 130p PCIe card is faster in all 3 like-for-like comparisons (largest gap: object detection, 5.57×).

Axelera Metis Edge 130p PCIe cardNVIDIA Jetson Orin Nano Super
Best object detection2894 FPS C
2026-10-15 (page last edited)
263 FPS B
2026-10-13 (page last edited)
Powern/a25.00 W spec
Perf / Wn/a10.53 FPS/W spec
Pricen/a$249 list
Workloads with data5 of 72 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card1000 FPS
throughput · b=1
YOLOv5n
INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n)
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card812 FPS
throughput · b=1
YOLOv5s
INT8 · Voyager SDK (GStreamer pipeline) · small (YOLO-s)
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
NVIDIA Jetson Orin Nano Super146 FPS
throughput · b=1
YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

instance segmentation

Only Axelera Metis Edge 130p PCIe card has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card287 FPS
throughput · b=1
YOLACT-ResNet50
INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)

NVIDIA Jetson Orin Nano Super:

◌

No published instance segmentation results for NVIDIA Jetson Orin Nano Super or Axelera Metis Edge 130p PCIe 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 Edge 130p PCIe card has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card762 FPS
throughput · b=1
YOLOv8n-pose
INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n)
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)

NVIDIA Jetson Orin Nano Super:

◌

No published pose estimation results for NVIDIA Jetson Orin Nano Super or Axelera Metis Edge 130p PCIe 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 Edge 130p PCIe card has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card4591 FPS
throughput · b=1
MobileNetV4-small
INT8 · Voyager SDK (GStreamer pipeline) · mobile-class CNN
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)

NVIDIA Jetson Orin Nano Super:

◌

No published image classification results for NVIDIA Jetson Orin Nano Super or Axelera Metis Edge 130p PCIe 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

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card242 FPS
throughput · b=1
U-Net FCN 256
INT8 · Voyager SDK (GStreamer pipeline) · unknown
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
NVIDIA Jetson Orin Nano Super67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

speech-to-text

◌

No published speech-to-text results for Axelera Metis Edge 130p PCIe card or NVIDIA Jetson Orin Nano Super 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 Axelera Metis Edge 130p PCIe card or NVIDIA Jetson Orin Nano Super 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
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

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.