Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) vs NVIDIA Jetson Orin Nano Super
NVIDIA Jetson Orin Nano Super is faster in the only like-for-like comparison (largest gap: object detection, 3.97×).
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | NVIDIA Jetson Orin Nano Super | |
|---|---|---|
| Best object detection | 66.21 FPS D undated | 263 FPS B undated |
| Power | n/a | 25.00 W spec |
| Perf / W | n/a | 10.53 FPS/W spec |
| Price | n/a | $249 list |
| Workloads with data | 3 of 7 | 1 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super | 263 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 25.00 W spec reported in result source — spec | Ultralytics docs benchmark table undated |
| 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 |
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 |
NVIDIA Jetson Orin Nano Super:
No published instance segmentation results for NVIDIA Jetson Orin Nano Super 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
No published pose estimation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson Orin Nano Super 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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 |
NVIDIA Jetson Orin Nano Super:
No published image classification results for NVIDIA Jetson Orin Nano Super 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.
semantic segmentation
No published semantic segmentation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson Orin Nano Super 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
No published speech-to-text results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson Orin Nano Super yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson Orin Nano Super 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
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.