HWBenchedge-AI hardware data, cited & graded

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) vs Raspberry Pi 5 (CPU only)

Googleedge SBC · no photo yet
No licensed photo available — placeholder drawing.
Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports
Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, 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.

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)Raspberry Pi 5 (CPU only)
Best image classification8.20 FPS D
undated
29.59 FPS B
2026 (year only)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data1 of 74 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 (CPU only) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only14.92 FPS
inference_time · b=1
YOLO26n
FP32/default · Ultralytics NCNN · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs benchmark table
undated

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published object detection results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) 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 mobile-class CNN vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only29.59 FPS
inference_time · b=1
YOLO26n-cls
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only
MIXED: model-size class mobile-class CNN vs nano (YOLO-n)
8.20 FPS
inference_time · b=1
MobileNet v2 (224x224)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN
Dunknown power n/a
no power published
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 (CPU only) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 FPS
inference_time · b=1
YOLO26n-sem
FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)
Bunknown power n/a
no power published
Ultralytics docs: Hailo integration benchmark
2026 (year only)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published semantic segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only Raspberry Pi 5 (CPU only) has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
Raspberry Pi 5 (CPU only) CPU-only1.20 tok/s
generation_throughput · b=1
DeepSeek R1 14b
as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B
C13.00 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
undated

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published LLM generation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or Raspberry Pi 5 (CPU only) 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.