Rockchip RK3566/RK3568 (NPU) vs TI AM68A (8 TOPS)

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TI AM68A (8 TOPS) is faster in the only like-for-like comparison (largest gap: object detection, 2.81×).

	Rockchip RK3566/RK3568 (NPU)	TI AM68A (8 TOPS)
Best object detection	49.90 FPS C 2026-10-13 (page last edited)	83.75 FPS C Older data (2024)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	$174.197 list
Workloads with data	5 of 7	1 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
TI AM68A (8 TOPS)	83.75 FPS inference_time · b=1	yolov7_tiny INT8 · TI Edge AI SDK / TIDL (edgeai-benchmark) · unknown	C	unknown power n/a no power published	TI edgeai-tensorlab tech report: speed/accuracy of object detection models (AM68A) Older data (2024)
Rockchip RK3566/RK3568 (NPU)	29.80 FPS throughput · b=1	yolov7-tiny INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · unknown	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)

instance segmentation

Only Rockchip RK3566/RK3568 (NPU) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	34.40 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)

TI AM68A (8 TOPS):

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No published instance segmentation results for TI AM68A (8 TOPS) or Rockchip RK3566/RK3568 (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 Rockchip RK3566/RK3568 (NPU) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	23.70 FPS throughput · b=1	yolov8n-pose 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)

TI AM68A (8 TOPS):

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No published pose estimation results for TI AM68A (8 TOPS) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

Only Rockchip RK3566/RK3568 (NPU) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	192 FPS throughput · b=1	mobilenetv2-12 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)

TI AM68A (8 TOPS):

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No published image classification results for TI AM68A (8 TOPS) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Rockchip RK3566/RK3568 (NPU) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	11.70 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)

TI AM68A (8 TOPS):

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No published semantic segmentation results for TI AM68A (8 TOPS) or Rockchip RK3566/RK3568 (NPU) 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

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No published speech-to-text results for Rockchip RK3566/RK3568 (NPU) or TI AM68A (8 TOPS) 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 Rockchip RK3566/RK3568 (NPU) or TI AM68A (8 TOPS) 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.