Intel Core Ultra 7 258V (Lunar Lake) vs Rockchip RK3562 (NPU)

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Intel Core Ultra 7 258V (Lunar Lake) is faster in all 3 like-for-like comparisons (largest gap: object detection, 16.24×).

	Intel Core Ultra 7 258V (Lunar Lake)	Rockchip RK3562 (NPU)
Best object detection	300 FPS C 2026-09-27 (page last edited)	57.30 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	2 of 7	5 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 nano (YOLO-n), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	300 FPS inference_time · b=1	YOLO26n FP32 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
Rockchip RK3562 (NPU)	57.30 FPS throughput · b=1	yolov6n 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)

✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	251 FPS inference_time · b=1	YOLO26s INT8 · Ultralytics + OpenVINO 2026.2.1 · small (YOLO-s)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
Rockchip RK3562 (NPU)	33.70 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)

✓ Like-for-like: model-size class medium (YOLO-m), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	175 FPS inference_time · b=1	YOLO26m INT8 · Ultralytics + OpenVINO 2026.2.1 · medium (YOLO-m)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
Rockchip RK3562 (NPU)	10.80 FPS throughput · b=1	yolov5m INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · medium (YOLO-m)	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 RK3562 (NPU) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3562 (NPU)	40.30 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)

Intel Core Ultra 7 258V (Lunar Lake):

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No published instance segmentation results for Intel Core Ultra 7 258V (Lunar Lake) or Rockchip RK3562 (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 RK3562 (NPU) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3562 (NPU)	32.40 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)

Intel Core Ultra 7 258V (Lunar Lake):

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No published pose estimation results for Intel Core Ultra 7 258V (Lunar Lake) or Rockchip RK3562 (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 RK3562 (NPU) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3562 (NPU)	289 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)

Intel Core Ultra 7 258V (Lunar Lake):

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No published image classification results for Intel Core Ultra 7 258V (Lunar Lake) or Rockchip RK3562 (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 RK3562 (NPU) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3562 (NPU)	21.00 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)

Intel Core Ultra 7 258V (Lunar Lake):

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No published semantic segmentation results for Intel Core Ultra 7 258V (Lunar Lake) or Rockchip RK3562 (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 Intel Core Ultra 7 258V (Lunar Lake) or Rockchip RK3562 (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

Only Intel Core Ultra 7 258V (Lunar Lake) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	135 tok/s 2nd-token throughput, input 32 tokens · b=1	minicpm4-0.5b INT4-MIXED · OpenVINO 2026.4.1 GenAI · LLM ≤4B	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-258V.csv) 2026-10-01 (published)

Rockchip RK3562 (NPU):

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No published LLM generation results for Rockchip RK3562 (NPU) or Intel Core Ultra 7 258V (Lunar Lake) 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.