HWBench

Qualcomm Dragonwing IQ-9075 EVK vs Rockchip RK3588 (NPU, single core of 3)

Close-up of a Rockchip RK3588 system-on-chip package on a circuit board
Rockchip RK3588 SoC package. Photo: Popolon (Commons uploader; CC0, attribution not required), CC0, via Wikimedia Commons.

Qualcomm Dragonwing IQ-9075 EVK is faster in all 5 like-for-like comparisons (largest gap: image classification, 10.59×).

Qualcomm Dragonwing IQ-9075 EVKRockchip RK3588 (NPU, single core of 3)
Best object detection674 FPS D
2026-10-07 (published)
109 FPS C
2026-10-13 (page last edited)
Powern/an/a
Perf / Wn/an/a
Pricen/an/a
Workloads with data6 of 75 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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)73.60 FPS
throughput · b=1
yolov7-tiny
INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · unknown
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)

instance segmentation

✓ 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 EVK568 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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)119 FPS
throughput · b=1
mobilesam_decoder
FP16 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · unknown
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)

pose estimation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class nano (YOLO-n) vs mid-size CNN.
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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)
MIXED: model-size class nano (YOLO-n) vs mid-size CNN
58.30 FPS
throughput · b=1
yolov8n-pose
INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · nano (YOLO-n)
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)

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

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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)459 FPS
throughput · b=1
mobilenetv2-12
INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mobile-class CNN
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)
✓ 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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)113 FPS
throughput · b=1
resnet50-v2-7
INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mid-size CNN
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)

semantic segmentation

✓ 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 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)
2026-10-07 (published)
Rockchip RK3588 (NPU, single core of 3)34.70 FPS
throughput · b=1
deeplab-v3-plus-mobilenet-v2
INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mobile-class CNN
Cunknown power n/a
no power published
Rockchip rknn_model_zoo README benchmark table
2026-10-13 (page last edited)

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)
2026-10-07 (published)

Rockchip RK3588 (NPU, single core of 3):

◌

No published speech-to-text results for Rockchip RK3588 (NPU, single core of 3) 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 Qualcomm Dragonwing IQ-9075 EVK or Rockchip RK3588 (NPU, single core of 3) 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.