Google Coral Dev Board (Edge TPU) vs Intel Xeon Gold 6154 desktop (CPU only, TFLite)

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Google Coral Dev Board (Edge TPU) is faster in all 3 like-for-like comparisons (largest gap: image classification, 27.50×).

	Google Coral Dev Board (Edge TPU)	Intel Xeon Gold 6154 desktop (CPU only, TFLite)
Best image classification	500 FPS D undated	36.10 FPS D undated
Power	2.00 W spec	n/a
Perf / W	250 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	1 of 7	1 of 7

Best published image classification 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

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No published object detection results for Google Coral Dev Board (Edge TPU) or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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 Xeon Gold 6154 desktop (CPU only, TFLite) 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 Xeon Gold 6154 desktop (CPU only, TFLite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
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	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) undated
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	36.10 FPS inference_time · b=1	Unet Mv2 (128x128) FP32/INT8 TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN	D	unknown power n/a no power published	Google Coral Edge TPU benchmarks page (Table 1) undated

✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	417 FPS inference_time · b=1	MobileNet v1 (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) undated
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	19.61 FPS inference_time · b=1	MobileNet v2 (224x224) FP32/INT8 TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN	D	unknown power n/a no power published	Google Coral Edge TPU benchmarks page (Table 1) undated

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	500 FPS inference_time · b=1	SqueezeNet (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · unknown	D	2.00 W spec platform spec envelope (not measured with this result)	Google Coral Edge TPU benchmarks page (Table 1) undated
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	18.18 FPS inference_time · b=1	SqueezeNet (224x224) FP32/INT8 TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · unknown	D	unknown power n/a no power published	Google Coral Edge TPU benchmarks page (Table 1) undated

semantic segmentation

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No published semantic segmentation results for Google Coral Dev Board (Edge TPU) or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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 Xeon Gold 6154 desktop (CPU only, TFLite) 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 Xeon Gold 6154 desktop (CPU only, TFLite) 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.