Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 vs TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)

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Showing the newest results per platform and source. 124 superseded older results are hidden.Showing all results, including 124 superseded by newer results from the same source.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	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
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	1 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

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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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only	221 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-1.0-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	34.18 W measured reported in result source — measured	MLPerf Inference v5.1, open division 2025-09-04 (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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published semantic segmentation results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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 TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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	TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU)
Best image classification	476 FPS D Older data (2019)	2798 FPS B Older data (2025)
Power	2.00 W spec	30.72 W measured
Perf / W	238 FPS/W spec	91.08 FPS/W measured
Price	n/a	n/a
Workloads with data	3 of 7	1 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 Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published object detection results.

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)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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No published object detection results for TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) 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.

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)
TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	2798 FPS throughput_offline · b=unknown	MLPerf resnet (open) / mobilenet-v1-precision_float-0.25-128 FP32 · MLPerf tflite vmaster (ctuning_cpp_tflite-cpu-tflite_vmaster-default_config) · mobile-class CNN	B	30.72 W measured reported in result source — measured	MLPerf Inference v5.0, open division Older data (2025)

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)

TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU):

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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.