HWBenchedge-AI hardware data, cited & graded

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) vs Qualcomm Dragonwing IQ-9075 EVK

MicrochipFPGA SoC (edge) · no photo yet
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Qualcommedge SoC dev kit · no photo yet
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Qualcomm Dragonwing IQ-9075 EVK is faster in all 3 like-for-like comparisons (largest gap: image classification, 17.44×).

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)Qualcomm Dragonwing IQ-9075 EVK
Best object detection66.21 FPS D
undated
674 FPS D
2026 (year only)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data3 of 76 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 unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK674 FPS
inference_time · b=1
yolov8_det / YOLOv8-Detection
w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)
Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)58.05 FPS
inference_time · b=1
132_YOLOX
INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · unknown
Dunknown power n/a
no power published
Microchip VectorBlox SDK tutorial metrics
undated

instance segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n).
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
Qualcomm Dragonwing IQ-9075 EVK
MIXED: model-size class unknown vs nano (YOLO-n)
568 FPS
inference_time · b=1
yolov8_seg / YOLOv8-Segmentation
w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)

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

pose estimation

Only Qualcomm Dragonwing IQ-9075 EVK has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK864 FPS
inference_time · b=1
hrnet_pose
w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · mid-size CNN
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published pose estimation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Qualcomm Dragonwing IQ-9075 EVK 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 mobile-class CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK1965 FPS
inference_time · b=1
mobilenet_v2
w8a8 · Qualcomm AI Hub qnn_dlc (QAIRT 2.50.0.260828221209) · mobile-class CNN
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)
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
Dunknown power n/a
no power published
Microchip VectorBlox SDK tutorial metrics
undated
✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK1192 FPS
inference_time · b=1
resnet50
w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · mid-size CNN
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)
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

semantic segmentation

Only Qualcomm Dragonwing IQ-9075 EVK has published semantic segmentation results.

PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK270 FPS
inference_time · b=1
deeplabv3_plus_mobilenet
w8a8 · Qualcomm AI Hub onnx (QAIRT 2.50.0.260828221209) · mobile-class CNN
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published semantic segmentation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Qualcomm Dragonwing IQ-9075 EVK 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

Only Qualcomm Dragonwing IQ-9075 EVK has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
Qualcomm Dragonwing IQ-9075 EVK196 FPS
inference_time · b=1
whisper_base / decoder
float · Qualcomm AI Hub qnn_context_binary (QAIRT 2.50.0.260828221209) · Whisper base
Dunknown power n/a
no power published
Qualcomm AI Hub Models perf.yaml (BSD-3)
2026 (year only)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published speech-to-text results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Qualcomm Dragonwing IQ-9075 EVK 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 Qualcomm Dragonwing IQ-9075 EVK 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.