Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) vs Raspberry Pi 5 (CPU only)

No licensed photo available — placeholder drawing.

Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports — Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, via Wikimedia Commons.

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) is faster in all 2 like-for-like comparisons (largest gap: image classification, 8.23×).

	Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	Raspberry Pi 5 (CPU only)
Best object detection	66.21 FPS D undated	14.92 FPS B undated
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	3 of 7	4 of 7

Best published object detection 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	66.21 FPS inference_time · b=1	yolov5n_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · nano (YOLO-n)	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated
Raspberry Pi 5 (CPU only) CPU-only	14.92 FPS inference_time · b=1	YOLO26n FP32/default · Ultralytics NCNN · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics docs benchmark table undated

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

Raspberry Pi 5 (CPU only):

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No published instance segmentation results for Raspberry Pi 5 (CPU only) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Raspberry Pi 5 (CPU only) 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 nano (YOLO-n), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)	244 FPS inference_time · b=1	yolov8n-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · nano (YOLO-n)	D	unknown power n/a no power published	Microchip VectorBlox SDK tutorial metrics undated
Raspberry Pi 5 (CPU only) CPU-only	29.59 FPS inference_time · b=1	YOLO26n-cls FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics docs: Hailo integration benchmark 2026 (year only)

semantic segmentation

Only Raspberry Pi 5 (CPU only) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Raspberry Pi 5 (CPU only) CPU-only	1.20 FPS inference_time · b=1	YOLO26n-sem FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics docs: Hailo integration benchmark 2026 (year only)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

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No published semantic segmentation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Raspberry Pi 5 (CPU only) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

Only Raspberry Pi 5 (CPU only) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Raspberry Pi 5 (CPU only) CPU-only	1.20 tok/s generation_throughput · b=1	DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B	C	13.00 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) undated

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

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No published LLM generation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Raspberry Pi 5 (CPU only) 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.