Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 vs Intel Xeon Gold 6338N

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Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	Intel Xeon Gold 6338N
Best semantic segmentation	303 FPS D Older data (2020)	n/a
Power	2.00 W spec	n/a
Perf / W	152 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 Gold 6338N has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Gold 6338N CPU-only	60.95 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published object detection results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 Gold 6338N has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Gold 6338N CPU-only	16247 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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No published image classification results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	303 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 Gold 6338N:

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No published semantic segmentation results for Intel Xeon Gold 6338N or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Intel Xeon Gold 6338N 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	Intel Xeon Gold 6338N
Best object detection	154 FPS D Older data (2019)	1233 FPS D 2026-10-01 (published)
Power	2.00 W spec	n/a
Perf / W	76.92 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	154 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 Gold 6338N CPU-only MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1	1233 FPS throughput (OpenVINO benchmark_app) · b=unknown	yolo_v8n INT8 · 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	20.41 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 Gold 6338N CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	16247 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	303 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 Gold 6338N:

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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.