HWBench

Axelera Metis Edge 130p PCIe card (16GB) vs NVIDIA Jetson Orin Nano Super

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

Axelera Metis Edge 130p PCIe card (16GB)NVIDIA Jetson Orin Nano Super
Best LLM generation33.80 tok/s C
2026-10-15 (page last edited)
n/a
Powern/an/a
Perf / Wn/an/a
Pricen/a$249 list
Workloads with data1 of 72 of 7

Best published LLM generation result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

Only NVIDIA Jetson Orin Nano Super has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
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)

Axelera Metis Edge 130p PCIe card (16GB):

◌

No published object detection results for Axelera Metis Edge 130p PCIe card (16GB) 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.

instance segmentation

◌

No published instance segmentation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

pose estimation

◌

No published pose estimation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

image classification

◌

No published image classification results for Axelera Metis Edge 130p PCIe card (16GB) 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.

semantic segmentation

Only NVIDIA Jetson Orin Nano Super has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
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)

Axelera Metis Edge 130p PCIe card (16GB):

◌

No published semantic segmentation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

speech-to-text

◌

No published speech-to-text results for Axelera Metis Edge 130p PCIe card (16GB) 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

Only Axelera Metis Edge 130p PCIe card (16GB) has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
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
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 LLM generation results for NVIDIA Jetson Orin Nano Super 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.

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.