Axelera Metis Edge 130p PCIe card vs Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0

Axelera AIedge accelerator cardNo licensed photo yet

GoogleAI accelerator (USB)No licensed photo yet

Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

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	Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0
Best semantic segmentation	280 FPS C 2026-10-15 (page last edited)	303 FPS D Older data (2020)
Power	n/a	2.00 W spec
Perf / W	n/a	152 FPS/W spec
Price	n/a	n/a
Workloads with data	5 of 7	1 of 7

Best published semantic segmentation result per platform. n/a = not published; never estimated.

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

object detection

Only Axelera Metis Edge 130p PCIe card has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	89.00 FPS throughput · b=1	RetinaFace - 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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published object detection results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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.

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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published instance segmentation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published pose estimation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published image classification results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mid-size CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	303 FPS inference_time · b=1	Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2020)
Axelera Metis Edge 130p PCIe card MIXED: model-size class nano (YOLO-n) vs mid-size CNN	280 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)

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

speech-to-text

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No published speech-to-text results for Axelera Metis Edge 130p PCIe card or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for Axelera Metis Edge 130p PCIe card or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 4 like-for-like comparisons (largest gap: image classification, 232×).

	Axelera Metis Edge 130p PCIe card	Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0
Best object detection	2894 FPS C 2026-10-15 (page last edited)	154 FPS D Older data (2019)
Power	n/a	2.00 W spec
Perf / W	n/a	76.92 FPS/W spec
Price	n/a	n/a
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 mobile-class CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	2894 FPS throughput · b=1	SSD-MobileNetV1 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)
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	154 FPS inference_time · b=1	MobileNet v1 SSD (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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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)

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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image classification

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Edge 130p PCIe card	4740 FPS throughput · b=1	ResNet-10t 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)
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	20.41 FPS inference_time · b=1	ResNet-50 V1 (299x299) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.

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)
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	417 FPS inference_time · b=1	MobileNet v1 (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

✓ 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	6477 FPS throughput · b=1	SqueezeNet 1.1 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)
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	476 FPS inference_time · b=1	SqueezeNet (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · unknown	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2019)

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mid-size CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	303 FPS inference_time · b=1	Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) Older data (2020)
Axelera Metis Edge 130p PCIe card MIXED: model-size class nano (YOLO-n) vs mid-size CNN	280 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)

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

speech-to-text

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LLM generation

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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.