NVIDIA DGX Spark vs Rockchip RK3562 (NPU)
NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: object detection, 17.28×).
| NVIDIA DGX Spark | Rockchip RK3562 (NPU) | |
|---|---|---|
| Best object detection | 990 FPS B 2026-09-27 (page last edited) | 57.30 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
| 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 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) |
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) |
NVIDIA DGX Spark:
No published instance segmentation results for NVIDIA DGX Spark 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) |
NVIDIA DGX Spark:
No published pose estimation results for NVIDIA DGX Spark 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) |
NVIDIA DGX Spark:
No published image classification results for NVIDIA DGX Spark 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) |
NVIDIA DGX Spark:
No published semantic segmentation results for NVIDIA DGX Spark 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
No published speech-to-text results for NVIDIA DGX Spark 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 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 RK3562 (NPU):
No published LLM generation results for Rockchip RK3562 (NPU) 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
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.