Raspberry Pi 5 + AI HAT+ (Hailo-8) vs Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Raspberry Pi 5 + AI HAT+ (Hailo-8) | Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) | |
|---|---|---|
| Best object detection | 76.99 FPS C 2025-12-16 (page last edited) | 117 FPS D 2026-08-10 (published) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 3 of 7 | 3 of 7 |
Best published object detection result per platform. 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 |
|---|---|---|---|---|---|
| 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) |
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) MIXED: model-size class unknown vs nano (YOLO-n) | 117 FPS throughput · b=1 | yolo-v3-tiny-tf FP16 · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
No published pose estimation results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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) |
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) MIXED: model-size class mobile-class CNN vs nano (YOLO-n) | 1391 FPS throughput · b=1 | mobilenet-v1-1.0-224 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
No shared like-for-like group exists for this pair.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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) |
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) MIXED: model-size class mid-size CNN vs nano (YOLO-n) | 10.26 FPS throughput · b=1 | unet-camvid-onnx-0001 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mid-size CNN | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for Raspberry Pi 5 + AI HAT+ (Hailo-8) or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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 Raspberry Pi 5 + AI HAT+ (Hailo-8) or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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.