Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs Axelera Metis Embedded 113m M.2 card

AlteraFPGA (PCIe/dev kit)No licensed photo yet

Axelera AIedge accelerator cardNo licensed photo yet

Axelera Metis Embedded 113m M.2 card is faster in the only like-for-like comparison (largest gap: image classification, 24.24×).

	Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)	Axelera Metis Embedded 113m M.2 card
Best image classification	182 FPS D 2026-08-10 (published)	5881 FPS C 2026-10-15 (page last edited)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	1 of 7	5 of 7

Best published image classification 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 Axelera Metis Embedded 113m M.2 card has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Embedded 113m M.2 card	91.00 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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published object detection results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Embedded 113m M.2 card	186 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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published instance segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 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 Embedded 113m M.2 card has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Embedded 113m M.2 card	746 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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published pose estimation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 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

✓ 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 Embedded 113m M.2 card	4412 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)
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite)	182 FPS throughput · b=1	ResNet18 (PyTorch) not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)

semantic segmentation

Only Axelera Metis Embedded 113m M.2 card has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Axelera Metis Embedded 113m M.2 card	294 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)

Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):

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No published semantic segmentation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 card 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 card 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Axelera Metis Embedded 113m M.2 card 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.