Axelera Metis Edge 130p PCIe card vs NVIDIA Jetson AGX Orin 64GB

Axelera AIedge accelerator cardNo licensed photo yet

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background — NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.

Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.

Axelera Metis Edge 130p PCIe card is faster in all 3 like-for-like comparisons (largest gap: object detection, 10.04×).

	Axelera Metis Edge 130p PCIe card	NVIDIA Jetson AGX Orin 64GB
Best object detection	2894 FPS C 2026-10-15 (page last edited)	435 FPS B 2026-10-13 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	6.69 FPS/W spec
Price	n/a	$3499 list
Workloads with data	5 of 7	3 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	1000 FPS throughput · b=1	YOLOv5n 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)
NVIDIA Jetson AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	812 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)
NVIDIA Jetson AGX Orin 64GB	80.90 FPS throughput · b=1	YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s)	C	65.00 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	287 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)

NVIDIA Jetson AGX Orin 64GB:

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No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	762 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)

NVIDIA Jetson AGX Orin 64GB:

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No published pose estimation results for NVIDIA Jetson AGX Orin 64GB 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	4591 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)

NVIDIA Jetson AGX Orin 64GB:

◌

No published image classification results for NVIDIA Jetson AGX Orin 64GB 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	242 FPS throughput · b=1	U-Net FCN 256 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)
NVIDIA Jetson AGX Orin 64GB	104 FPS throughput · b=1	SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown	C	65.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)

speech-to-text

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No published speech-to-text results for Axelera Metis Edge 130p PCIe card or NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

Axelera Metis Edge 130p PCIe card:

◌

No published LLM generation results for Axelera Metis Edge 130p PCIe card or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

Axelera Metis Edge 130p PCIe card is faster in all 3 like-for-like comparisons (largest gap: object detection, 10.04×).

	Axelera Metis Edge 130p PCIe card	NVIDIA Jetson AGX Orin 64GB
Best object detection	2894 FPS C 2026-10-15 (page last edited)	435 FPS B 2026-10-13 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	6.69 FPS/W spec
Price	n/a	$3499 list
Workloads with data	5 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	1000 FPS throughput · b=1	YOLOv5n 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)
NVIDIA Jetson AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	812 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)
NVIDIA Jetson AGX Orin 64GB	80.90 FPS throughput · b=1	YOLO11s (640x640) INT8 · TensorRT (ONNX export) · small (YOLO-s)	C	65.00 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	287 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)

NVIDIA Jetson AGX Orin 64GB:

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pose estimation

Only Axelera Metis Edge 130p PCIe card has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	762 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)

NVIDIA Jetson AGX Orin 64GB:

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image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	4591 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)
NVIDIA Jetson AGX Orin 64GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1	6424 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

No shared like-for-like group exists for this pair.

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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	242 FPS throughput · b=1	U-Net FCN 256 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)
NVIDIA Jetson AGX Orin 64GB	104 FPS throughput · b=1	SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown	C	65.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)

speech-to-text

Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	1170 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

Axelera Metis Edge 130p PCIe card:

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LLM generation

Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

Axelera Metis Edge 130p PCIe card:

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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.