HWBenchedge-AI hardware data, cited & graded

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.
AMDPCIe accelerator card · no photo yet
No licensed photo available — placeholder drawing.
MicrochipFPGA SoC (edge) · no photo yet
No licensed photo available — placeholder drawing.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)
Best object detection6100 FPS D
Older data (2023)
66.21 FPS D
undated
Power75.00 W specn/a
Perf / W81.34 FPS/W specn/a
Pricen/an/a
Workloads with data4 of 73 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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
Dunknown power n/a
no power published
Microchip VectorBlox SDK tutorial metrics
undated
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)
MIXED: batch unknown vs 1
6100 FPS
E2E throughput, multi thread · b=unknown
tf_ssdmobilenetv1_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN
D75.00 W spec
reported in result source — spec
Vitis AI 3.5 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.

PlatformResultModel · precision · stackGradePowerSource
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)
Dunknown power n/a
no power published
Microchip VectorBlox SDK tutorial metrics
undated

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML):

◌

No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)8327 FPS
E2E throughput, multi thread · b=unknown
pt_movenet_3.5
INT8 · Vitis AI 3.5 (VART) · unknown
D75.00 W spec
reported in result source — spec
Vitis AI 3.5 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

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.
PlatformResultModel · precision · stackGradePowerSource
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
Dunknown power n/a
no power published
Microchip VectorBlox SDK tutorial metrics
undated
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)
MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1
63109 FPS
E2E throughput, multi thread · b=unknown
tf_mobilenetv1-0.25_3.5
INT8 · Vitis AI 3.5 (VART) · mobile-class CNN
D75.00 W spec
reported in result source — spec
Vitis AI 3.5 Model Zoo performance table
Older data (2023)

No shared like-for-like group exists for this pair.

semantic segmentation

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)1177 FPS
E2E throughput, multi thread · b=unknown
tf2_2D-UNET_3.5
INT8 · Vitis AI 3.5 (VART) · mid-size CNN
D75.00 W spec
reported in result source — spec
Vitis AI 3.5 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) 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.