Axelera Metis Edge 130p PCIe card (16GB) 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Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.

NVIDIA Jetson AGX Orin 64GB is faster in all 3 like-for-like comparisons (largest gap: LLM generation, 11.11×).

	Axelera Metis Edge 130p PCIe card (16GB)	NVIDIA Jetson AGX Orin 64GB
Best LLM generation	33.80 tok/s C 2026-10-15 (page last edited)	273 tok/s C 2026-07-21 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	4.20 tok/s/W spec
Price	n/a	$3499 list
Workloads with data	1 of 7	3 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 NVIDIA Jetson AGX Orin 64GB has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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)

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

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

instance segmentation

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

pose estimation

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

image classification

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

semantic segmentation

Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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)

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

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

speech-to-text

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

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.

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 (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)

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	60.00 tok/s generation_throughput · b=1	Qwen3-VL-2B W4A16 · vLLM · LLM ≤4B	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 (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)

✓ 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
NVIDIA Jetson AGX Orin 64GB	44.00 tok/s generation_throughput · b=1	Cosmos3 Edge (Reasoner) BF16 · vLLM · unknown	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 (16GB)	33.80 tok/s generation_throughput · b=1	lfm2.5-350m not stated · Voyager SDK model_axscript.llm · 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 is faster in all 3 like-for-like comparisons (largest gap: LLM generation, 11.11×).

	Axelera Metis Edge 130p PCIe card (16GB)	NVIDIA Jetson AGX Orin 64GB
Best LLM generation	33.80 tok/s C 2026-10-15 (page last edited)	273 tok/s C 2026-07-21 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	4.20 tok/s/W spec
Price	n/a	$3499 list
Workloads with data	1 of 7	5 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 NVIDIA Jetson AGX Orin 64GB has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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)

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

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instance segmentation

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pose estimation

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image classification

Only NVIDIA Jetson AGX Orin 64GB has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	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)

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

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semantic segmentation

Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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)

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

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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 (16GB):

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LLM generation

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.

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 (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)

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	60.00 tok/s generation_throughput · b=1	Qwen3-VL-2B W4A16 · vLLM · LLM ≤4B	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 (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)

✓ 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
NVIDIA Jetson AGX Orin 64GB	44.00 tok/s generation_throughput · b=1	Cosmos3 Edge (Reasoner) BF16 · vLLM · unknown	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 (16GB)	33.80 tok/s generation_throughput · b=1	lfm2.5-350m not stated · Voyager SDK model_axscript.llm · 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)

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.