Qualcomm Dragonwing IQ-9075 EVK vs Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)

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Qualcomm Dragonwing IQ-9075 EVK is faster in all 4 like-for-like comparisons (largest gap: object detection, 5.75×).

	Qualcomm Dragonwing IQ-9075 EVK	Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)
Best object detection	674 FPS D 2026-10-07 (published)	117 FPS D 2026-08-10 (published)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	6 of 7	3 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	674 FPS inference_time · b=1	yolov8_det / YOLOv8-Detection w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)	117 FPS throughput · b=1	yolo-v3-tiny-tf FP16 · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)

instance segmentation

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	568 FPS inference_time · b=1	yolov8_seg / YOLOv8-Segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · unknown	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

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No published instance segmentation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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.

pose estimation

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	864 FPS inference_time · b=1	hrnet_pose w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

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No published pose estimation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	1965 FPS inference_time · b=1	mobilenet_v2 w8a8 · Qualcomm AI Hub qnn_dlc (QAIRT 2.50.0.260828221209) · mobile-class CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)	1391 FPS throughput · b=1	mobilenet-v1-1.0-224 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	1192 FPS inference_time · b=1	resnet50 w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)	220 FPS throughput · b=1	resnet-50-tf not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mid-size CNN	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)

semantic segmentation

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	32.15 FPS inference_time · b=1	unet_segmentation w8a8 · Qualcomm AI Hub tflite (QAIRT 2.50.0.260828221209) · mid-size CNN	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite)	10.26 FPS throughput · b=1	unet-camvid-onnx-0001 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mid-size CNN	D	unknown power n/a no power published	Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published)

speech-to-text

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Qualcomm Dragonwing IQ-9075 EVK	196 FPS inference_time · b=1	whisper_base / decoder float · Qualcomm AI Hub qnn_context_binary (QAIRT 2.50.0.260828221209) · Whisper base	D	unknown power n/a no power published	Qualcomm AI Hub Models perf.yaml (BSD-3) 2026-10-07 (published)

Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite):

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No published speech-to-text results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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

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No published LLM generation results for Qualcomm Dragonwing IQ-9075 EVK or Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) 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.