AMD Zynq UltraScale+ ZCU104 (ZU7EV) vs Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) | Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | |
|---|---|---|
| Best object detection | 463 FPS D Older data (2023) | 66.21 FPS D undated |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 3 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
| 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 |
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1 | 463 FPS E2E throughput, multi thread · b=unknown | pt_yolox-nano_coco_416_416_1G INT8 · Vitis AI 3.0 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
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 |
AMD Zynq UltraScale+ ZCU104 (ZU7EV):
No published instance segmentation results for AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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
Only AMD Zynq UltraScale+ ZCU104 (ZU7EV) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) | 372 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · unknown | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):
No published pose estimation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or AMD Zynq UltraScale+ ZCU104 (ZU7EV) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| 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 |
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1 | 4325 FPS E2E throughput, multi thread · b=unknown | tf_mobilenetv1_0.25_imagenet_128_128_27M INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
Only AMD Zynq UltraScale+ ZCU104 (ZU7EV) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU104 (ZU7EV) | 53.02 FPS E2E throughput, multi thread · b=unknown | pt_SemanticFPN-mobilenetv2_cityscapes_512_1024_10G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | unknown power n/a no power published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):
No published semantic segmentation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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 AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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
No published LLM generation results for AMD Zynq UltraScale+ ZCU104 (ZU7EV) 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
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.