HWBenchedge-AI hardware data, cited & graded

Google Coral Dev Board (Edge TPU) vs Raspberry Pi 5 + AI HAT+ (Hailo-8)

Googleedge SBC · no photo yet
No licensed photo available — placeholder drawing.
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.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

Google Coral Dev Board (Edge TPU)Raspberry Pi 5 + AI HAT+ (Hailo-8)
Best image classification500 FPS D
undated
500 FPS B
2026 (year only)
Power2.00 W specn/a
Perf / W250 FPS/W specn/a
Pricen/an/a
Workloads with data1 of 73 of 7

Best published image classification result per platform. n/a = not published; never estimated.

Show data — all workloads, sources and like-for-like groups

object detection

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

PlatformResultModel · precision · stackGradePowerSource
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 docs: Hailo integration benchmark
2026 (year only)

Google Coral Dev Board (Edge TPU):

◌

No published object detection results for Google Coral Dev Board (Edge TPU) 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.

instance segmentation

◌

No published instance segmentation results for Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) 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

⚠ 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)500 FPS
inference_time · b=1
YOLO26n-cls
INT8 · Ultralytics Hailo HEF / HailoRT · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)
Google Coral Dev Board (Edge TPU)
MIXED: model-size class unknown vs nano (YOLO-n)
500 FPS
inference_time · b=1
SqueezeNet (224x224)
INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · unknown
D2.00 W spec
platform spec envelope (not measured with this result)
Google Coral Edge TPU benchmarks page (Table 1)
undated

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

semantic segmentation

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

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 docs: Hailo integration benchmark
2026 (year only)

Google Coral Dev Board (Edge TPU):

◌

No published semantic segmentation results for Google Coral Dev Board (Edge TPU) 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.

speech-to-text

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No published speech-to-text results for Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) 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.