AMD Versal AI Edge VEK280 (VE2802) vs Rockchip RV1109 (NPU)

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.

AMDeval kit (adaptive SoC)No licensed photo yet

Rockchipedge SoCNo licensed photo yet

AMD Versal AI Edge VEK280 (VE2802) is faster in the only like-for-like comparison (largest gap: image classification, 13.81×).

	AMD Versal AI Edge VEK280 (VE2802)	Rockchip RV1109 (NPU)
Best image classification	8598 FPS D Older data (2023)	213 FPS C 2026-10-13 (page last edited)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	4 of 7	4 of 7

Best published image classification 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

⚠ MIXED COMPARISON — not like-for-like. Baseline small (YOLO-s) at batch 1. Differs: model-size class mobile-class CNN vs small (YOLO-s); batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RV1109 (NPU)	20.20 FPS throughput · b=1	yolov5s_relu INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · small (YOLO-s)	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)
AMD Versal AI Edge VEK280 (VE2802) MIXED: model-size class mobile-class CNN vs small (YOLO-s); batch unknown vs 1	1933 FPS E2E throughput, multi thread · b=unknown	tf_ssdmobilenetv1_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN	D	unknown power n/a no power published	Vitis AI 3.5 Model Zoo performance table Older data (2023)

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

instance segmentation

Only Rockchip RV1109 (NPU) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RV1109 (NPU)	28.60 FPS throughput · b=1	yolov5n-seg INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · nano (YOLO-n)	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)

AMD Versal AI Edge VEK280 (VE2802):

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No published instance segmentation results for AMD Versal AI Edge VEK280 (VE2802) or Rockchip RV1109 (NPU) 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 Versal AI Edge VEK280 (VE2802) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge VEK280 (VE2802)	428 FPS E2E throughput, multi thread · b=unknown	pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN	D	unknown power n/a no power published	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Rockchip RV1109 (NPU):

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No published pose estimation results for Rockchip RV1109 (NPU) or AMD Versal AI Edge VEK280 (VE2802) 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 mid-size CNN, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge VEK280 (VE2802)	337 FPS throughput · b=1	resnet50 (TRD example xmodel) INT8 · Vitis AI 3.5 DPUCV2DX8G reference design, test_dpu_runner_mt · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.5 VEK280 DPUCV2DX8G reference design (ResNet50 example) Older data (2023)
Rockchip RV1109 (NPU)	24.40 FPS throughput · b=1	resnet50-v2-7 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mid-size CNN	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RV1109 (NPU)	10.10 FPS throughput · b=1	deeplab-v3-plus-mobilenet-v2 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mobile-class CNN	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)
AMD Versal AI Edge VEK280 (VE2802) MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1	1564 FPS E2E throughput, multi thread · b=unknown	tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.5 Model Zoo performance table Older data (2023)

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

speech-to-text

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No published speech-to-text results for AMD Versal AI Edge VEK280 (VE2802) or Rockchip RV1109 (NPU) 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 AMD Versal AI Edge VEK280 (VE2802) or Rockchip RV1109 (NPU) 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.