Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 vs Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)

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Split result: Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 is faster in 2 and Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) in 1 of 3 like-for-like comparisons.

	Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)
Best image classification	476 FPS D undated	672 FPS D undated
Power	2.00 W spec	n/a
Perf / W	238 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	1 of 7	3 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

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	25.81 FPS inference_time · b=1	torchvision_ssdlite320_mobilenet_v3_large INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · mobile-class CNN	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated

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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	14.13 FPS inference_time · b=1	yolov8n-seg INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · nano (YOLO-n)	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated

Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:

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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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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 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) undated
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	68.35 FPS inference_time · b=1	resnet18_86s_07p INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression · mid-size CNN	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics 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
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	672 FPS inference_time · b=1	mobilenet-v1-0.25-128 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · mobile-class CNN	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	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

✓ 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0	476 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
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	99.88 FPS inference_time · b=1	onnx_squeezenet1.1 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · unknown	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated

semantic segmentation

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No published semantic segmentation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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.