AMD Versal AI Edge VEK280 (VE2802) vs Axelera Metis Embedded 113m M.2 card
Axelera Metis Embedded 113m M.2 card is faster in the only like-for-like comparison (largest gap: image classification, 13.09×).
| AMD Versal AI Edge VEK280 (VE2802) | Axelera Metis Embedded 113m M.2 card | |
|---|---|---|
| Best image classification | 8598 FPS D Older data (2023) | 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 | 4 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
| 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) |
| 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 | D | unknown 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 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) |
AMD Versal AI Edge VEK280 (VE2802):
No published instance segmentation results for AMD Versal AI Edge VEK280 (VE2802) 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
| 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) |
| 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 | D | unknown 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
| 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) |
| 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 | D | unknown power n/a no power published | Vitis AI 3.5 VEK280 DPUCV2DX8G reference design (ResNet50 example) Older data (2023) |
semantic segmentation
| 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) |
| 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 | D | unknown 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 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
No published LLM generation results for AMD Versal AI Edge VEK280 (VE2802) 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
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.