HWBench

NVIDIA Jetson Orin Nano Super vs Raspberry Pi 5 + AI HAT+ (Hailo-8)

Raspberry Pi AI HAT+ with Hailo-8 accelerator mounted on a Raspberry Pi, angled view
Raspberry Pi AI HAT+ (Hailo-8). Photo: SparkFun Electronics, CC BY 2.0, via Wikimedia Commons.

NVIDIA Jetson Orin Nano Super is faster in the only like-for-like comparison (largest gap: object detection, 5.71×).

NVIDIA Jetson Orin Nano SuperRaspberry Pi 5 + AI HAT+ (Hailo-8)
Best object detection263 FPS B
2026-10-13 (page last edited)
76.99 FPS C
2025-12-16 (page last edited)
Power25.00 W specn/a
Perf / W10.53 FPS/W specn/a
Price$249 listn/a
Workloads with data2 of 73 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson Orin Nano Super263 FPS
inference_time · b=1
YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)
B25.00 W spec
reported in result source — spec
Ultralytics documentation (benchmark table)
2026-10-13 (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)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

instance segmentation

◌

No published instance segmentation results for NVIDIA Jetson Orin Nano Super 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.

pose estimation

◌

No published pose estimation results for NVIDIA Jetson Orin Nano Super 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.

image classification

Only Raspberry Pi 5 + AI HAT+ (Hailo-8) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 + AI HAT+ (Hailo-8)500 FPS
inference_time · b=1
YOLO26n-cls
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)

NVIDIA Jetson Orin Nano Super:

◌

No published image classification results for NVIDIA Jetson Orin Nano Super 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.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 + AI HAT+ (Hailo-8)28.74 FPS
inference_time · b=1
YOLO26n-sem
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics documentation: Hailo integration benchmark
2026-10-11 (page last edited)
NVIDIA Jetson Orin Nano Super
MIXED: model-size class unknown vs nano (YOLO-n)
67.47 FPS
throughput · b=1
SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown
C25.00 W spec
platform spec envelope (not measured with this result)
arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

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

speech-to-text

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No published speech-to-text results for NVIDIA Jetson Orin Nano Super 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

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No published LLM generation results for NVIDIA Jetson Orin Nano Super 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
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.