Axelera Metis Edge 130p PCIe card vs Raspberry Pi 5 + AI HAT+ (Hailo-8)
Axelera Metis Edge 130p PCIe card is faster in all 2 like-for-like comparisons (largest gap: object detection, 21.70×).
| Axelera Metis Edge 130p PCIe card | Raspberry Pi 5 + AI HAT+ (Hailo-8) | |
|---|---|---|
| Best object detection | 2894 FPS C 2026-10-15 (page last edited) | 76.99 FPS C 2025-12-16 (page last edited) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| 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
| 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) |
| Raspberry Pi 5 + AI HAT+ (Hailo-8) | 46.08 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited) |
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) |
Raspberry Pi 5 + AI HAT+ (Hailo-8):
No published instance segmentation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) 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) |
Raspberry Pi 5 + AI HAT+ (Hailo-8):
No published pose estimation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Raspberry Pi 5 + AI HAT+ (Hailo-8) | 500 FPS inference_time · b=1 | YOLO26n-cls INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited) |
| Axelera Metis Edge 130p PCIe card MIXED: model-size class unknown vs nano (YOLO-n) | 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) |
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) |
| Raspberry Pi 5 + AI HAT+ (Hailo-8) | 28.74 FPS inference_time · b=1 | YOLO26n-sem INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited) |
speech-to-text
No published speech-to-text results for Axelera Metis Edge 130p PCIe card or Raspberry Pi 5 + AI HAT+ (Hailo-8) 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 Axelera Metis Edge 130p PCIe card or Raspberry Pi 5 + AI HAT+ (Hailo-8) 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.