HWBench

AMD Versal AI Edge VEK280 (VE2802) vs Axelera Metis Edge 130p PCIe card

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.

Axelera Metis Edge 130p PCIe card is faster in the only like-for-like comparison (largest gap: image classification, 14.06×).

AMD Versal AI Edge VEK280 (VE2802)Axelera Metis Edge 130p PCIe card
Best image classification8598 FPS D
Older data (2023)
6477 FPS C
2026-10-15 (page last edited)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data4 of 75 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card89.00 FPS
throughput · b=1
RetinaFace - Resnet50
INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1
1933 FPS
E2E throughput, multi thread · b=unknown
tf_ssdmobilenetv1_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN
Dunknown power n/a
no power published
Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

instance segmentation

Only Axelera Metis Edge 130p PCIe card has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card287 FPS
throughput · b=1
YOLACT-ResNet50
INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)

AMD Versal AI Edge VEK280 (VE2802):

◌

No published instance segmentation results for AMD Versal AI Edge VEK280 (VE2802) 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card762 FPS
throughput · b=1
YOLOv8n-pose
INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n)
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1
428 FPS
E2E throughput, multi thread · b=unknown
pt_movenet_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN
Dunknown power n/a
no power published
Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

image classification

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card4740 FPS
throughput · b=1
ResNet-10t
INT8 · Voyager SDK (GStreamer pipeline) · mid-size CNN
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
AMD Versal AI Edge VEK280 (VE2802)337 FPS
throughput · b=1
resnet50 (TRD example xmodel)
INT8 · Vitis AI 3.5 DPUCV2DX8G reference design, test_dpu_runner_mt · mid-size CNN
Dunknown power n/a
no power published
Vitis AI 3.5 VEK280 DPUCV2DX8G reference design (ResNet50 example)
Older data (2023)

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class mid-size CNN vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
Axelera Metis Edge 130p PCIe card280 FPS
throughput · b=1
YOLO26n-sem
INT8 · Voyager SDK (GStreamer pipeline) · nano (YOLO-n)
Cunknown power n/a
no power published
Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md)
2026-10-15 (page last edited)
AMD Versal AI Edge VEK280 (VE2802)
MIXED: model-size class mid-size CNN vs nano (YOLO-n); batch unknown vs 1
1564 FPS
E2E throughput, multi thread · b=unknown
tf2_2D-UNET_3.5
INT8 · Vitis AI 3.5 (VART) · mid-size CNN
Dunknown power n/a
no power published
Vitis AI 3.5 Model Zoo performance table
Older data (2023)

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

speech-to-text

◌

No published speech-to-text results for AMD Versal AI Edge VEK280 (VE2802) 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.

LLM generation

◌

No published LLM generation results for AMD Versal AI Edge VEK280 (VE2802) 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.

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.