NVIDIA DGX Spark vs Rockchip RK3588 (NPU, single core of 3)

NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table — NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 4.0, via Wikimedia Commons.

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.

NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: object detection, 9.10×).

	NVIDIA DGX Spark	Rockchip RK3588 (NPU, single core of 3)
Best object detection	990 FPS B 2026-09-27 (page last edited)	109 FPS C 2026-10-13 (page last edited)
Power	153 W spec	n/a
Perf / W	6.47 FPS/W spec	n/a
Price	$6950 list	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
NVIDIA DGX Spark	990 FPS inference_time · b=1	YOLO11n FP16 · Ultralytics TensorRT · nano (YOLO-n)	B	153 W spec platform spec envelope (not measured with this result)	Ultralytics documentation (benchmark table) 2026-09-27 (page last edited)
Rockchip RK3588 (NPU, single core of 3)	109 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)

instance segmentation

Only Rockchip RK3588 (NPU, single core of 3) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3588 (NPU, single core of 3)	71.50 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)

NVIDIA DGX Spark:

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No published instance segmentation results for NVIDIA DGX Spark 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.

pose estimation

Only Rockchip RK3588 (NPU, single core of 3) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3588 (NPU, single core of 3)	58.30 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)

NVIDIA DGX Spark:

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No published pose estimation results for NVIDIA DGX Spark 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.

image classification

Only Rockchip RK3588 (NPU, single core of 3) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3588 (NPU, single core of 3)	459 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)

NVIDIA DGX Spark:

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No published image classification results for NVIDIA DGX Spark 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.

semantic segmentation

Only Rockchip RK3588 (NPU, single core of 3) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
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	C	unknown power n/a no power published	Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited)

NVIDIA DGX Spark:

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No published semantic segmentation results for NVIDIA DGX Spark 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.

speech-to-text

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No published speech-to-text results for NVIDIA DGX Spark 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.

LLM generation

Only NVIDIA DGX Spark has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA DGX Spark	60.39 tok/s tg128 · b=1	Llama 2 7B Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B	C	153 W spec platform spec envelope (not measured with this result)	llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API) 2026-10-10 (page last edited)

Rockchip RK3588 (NPU, single core of 3):

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No published LLM generation results for Rockchip RK3588 (NPU, single core of 3) or NVIDIA DGX Spark 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.