HWBenchedge-AI hardware data, cited & graded

Google Coral Dev Board (Edge TPU) vs Intel Core Ultra X7 358H (Panther Lake)

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

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)Intel Core Ultra X7 358H (Panther Lake)
Best image classification500 FPS D
undated
n/a
Power2.00 W specn/a
Perf / W250 FPS/W specn/a
Pricen/an/a
Workloads with data1 of 71 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 Intel Core Ultra X7 358H (Panther Lake) has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
Intel Core Ultra X7 358H (Panther Lake)248 FPS
inference_time · b=1
YOLO26n
FP16 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n)
Cunknown power n/a
no power published
Ultralytics docs: Intel OpenVINO integration benchmark
2026 (year only)

Google Coral Dev Board (Edge TPU):

◌

No published object detection results for Google Coral Dev Board (Edge TPU) or Intel Core Ultra X7 358H (Panther Lake) 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 Google Coral Dev Board (Edge TPU) or Intel Core Ultra X7 358H (Panther Lake) 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 Google Coral Dev Board (Edge TPU) or Intel Core Ultra X7 358H (Panther Lake) 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 Google Coral Dev Board (Edge TPU) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
Google Coral Dev Board (Edge TPU)175 FPS
inference_time · b=1
Unet Mv2 (128x128)
INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN
D2.00 W spec
platform spec envelope (not measured with this result)
Google Coral Edge TPU benchmarks page (Table 1)
undated

Intel Core Ultra X7 358H (Panther Lake):

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No published image classification results for Intel Core Ultra X7 358H (Panther Lake) or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for Google Coral Dev Board (Edge TPU) or Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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.