Google Coral Dev Board (Edge TPU) vs Intel Xeon Platinum 8580

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Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

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 Xeon Platinum 8580
Best semantic segmentation	175 FPS D Older data (2020)	n/a
Power	2.00 W spec	n/a
Perf / W	87.72 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	1 of 7	2 of 7

Best published semantic segmentation result per platform. n/a = not published; never estimated.

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

object detection

Only Intel Xeon Platinum 8580 has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Platinum 8580 CPU-only	516 FPS throughput (OpenVINO benchmark_app) · b=unknown	ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

Google Coral Dev Board (Edge TPU):

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No published object detection results for Google Coral Dev Board (Edge TPU) or Intel Xeon Platinum 8580 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 Platinum 8580 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 Platinum 8580 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 Intel Xeon Platinum 8580 has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Platinum 8580 CPU-only	39672 FPS throughput (OpenVINO benchmark_app) · b=unknown	mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

Google Coral Dev Board (Edge TPU):

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No published image classification results for Google Coral Dev Board (Edge TPU) or Intel Xeon Platinum 8580 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Google Coral Dev Board (Edge TPU) has published semantic segmentation results.

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) Older data (2020)

Intel Xeon Platinum 8580:

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No published semantic segmentation results for Intel Xeon Platinum 8580 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.

speech-to-text

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No published speech-to-text results for Google Coral Dev Board (Edge TPU) or Intel Xeon Platinum 8580 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 Platinum 8580 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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 Xeon Platinum 8580
Best object detection	90.91 FPS D Older data (2019)	3545 FPS D 2026-10-01 (published)
Power	2.00 W spec	n/a
Perf / W	45.45 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	3 of 7	2 of 7

Best published object detection result per platform. n/a = not published; never estimated.

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

object detection

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class unknown vs mobile-class CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	90.91 FPS inference_time · b=1	MobileNet v1 SSD (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) Older data (2019)
Intel Xeon Platinum 8580 CPU-only MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1	3545 FPS throughput (OpenVINO benchmark_app) · b=unknown	yolo_v8n BF16 · OpenVINO 2026.4.1 · unknown	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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

instance segmentation

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pose estimation

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image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral Dev Board (Edge TPU)	17.86 FPS inference_time · b=1	ResNet-50 V1 (299x299) 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) Older data (2019)
Intel Xeon Platinum 8580 CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	39672 FPS throughput (OpenVINO benchmark_app) · b=unknown	mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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

semantic segmentation

Only Google Coral Dev Board (Edge TPU) has published semantic segmentation results.

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) Older data (2020)

Intel Xeon Platinum 8580:

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speech-to-text

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LLM generation

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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.