AMD Kria KV260 Vision AI Starter Kit (K26 SOM) vs Axelera Metis Edge 130p PCIe card
Axelera Metis Edge 130p PCIe card is faster in all 2 like-for-like comparisons (largest gap: object detection, 66.56×).
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) | Axelera Metis Edge 130p PCIe card | |
|---|---|---|
| Best object detection | 276 FPS D Older data (2023) | 2894 FPS C 2026-10-15 (page last edited) |
| Power | 7.50 W spec | n/a |
| Perf / W | 36.76 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 5 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 812 FPS throughput · b=1 | YOLOv5s INT8 · Voyager SDK (GStreamer pipeline) · small (YOLO-s) | 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 Kria KV260 Vision AI Starter Kit (K26 SOM) | 12.20 FPS throughput (DPU only) · b=1 | YOLOv8s-Ghost-P2 (Hard-Swish, xView3-SAR) INT8 (Vitis AI quantizer, power-of-two) · Vitis AI 3.5 VART, DPU inference only, 2 threads · small (YOLO-s) | C | 7.50 W spec platform spec envelope (not measured with this result) | arXiv 2507.04842v2 (SAR vessel detection on Kria KV260), Table 6 2025-11-17 (published) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 1000 FPS throughput · b=1 | YOLOv5n 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 Kria KV260 Vision AI Starter Kit (K26 SOM) | 33.60 FPS throughput (DPU only) · b=1 | YOLOv8n-Ghost (Hard-Swish, xView3-SAR) INT8 (Vitis AI quantizer, power-of-two) · Vitis AI 3.5 VART, DPU inference only, 2 threads · nano (YOLO-n) | C | 7.50 W spec platform spec envelope (not measured with this result) | arXiv 2507.04842v2 (SAR vessel detection on Kria KV260), Table 6 2025-11-17 (published) |
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) |
AMD Kria KV260 Vision AI Starter Kit (K26 SOM):
No published instance segmentation results for AMD Kria KV260 Vision AI Starter Kit (K26 SOM) 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
| 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) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class mobile-class CNN vs nano (YOLO-n); batch unknown vs 1 | 352 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | 7.50 W spec reported in result source — spec | Vitis AI 3.0 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 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) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: batch unknown vs 1 | 2432 FPS E2E throughput, multi thread · b=unknown | tf_mobilenetv1_0.25_imagenet_128_128_27M INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | 7.50 W spec reported in result source — spec | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Axelera Metis Edge 130p PCIe card | 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) |
| AMD Kria KV260 Vision AI Starter Kit (K26 SOM) MIXED: model-size class mid-size CNN vs nano (YOLO-n); batch unknown vs 1 | 183 FPS E2E throughput, multi thread · b=unknown | tf2_2d-unet_nuclei_128_128_5.31G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | 7.50 W spec reported in result source — spec | Vitis AI 3.0 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 Kria KV260 Vision AI Starter Kit (K26 SOM) 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 Kria KV260 Vision AI Starter Kit (K26 SOM) 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
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.