NVIDIA Jetson Orin NX 16GB vs Rockchip RV1126B (NPU)
NVIDIA Jetson Orin NX 16GB is faster in the only like-for-like comparison (largest gap: object detection, 2.71×).
| NVIDIA Jetson Orin NX 16GB | Rockchip RV1126B (NPU) | |
|---|---|---|
| Best object detection | 287 FPS B 2026-10-13 (page last edited) | 106 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 | 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 Jetson Orin NX 16GB | 287 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | unknown power n/a no power published | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
| Rockchip RV1126B (NPU) | 106 FPS throughput · b=1 | yolov5n 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 RV1126B (NPU) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RV1126B (NPU) | 83.80 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 Jetson Orin NX 16GB:
No published instance segmentation results for NVIDIA Jetson Orin NX 16GB or Rockchip RV1126B (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 RV1126B (NPU) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RV1126B (NPU) | 59.10 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 Jetson Orin NX 16GB:
No published pose estimation results for NVIDIA Jetson Orin NX 16GB or Rockchip RV1126B (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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RV1126B (NPU) | 374 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 Jetson Orin NX 16GB MIXED: model-size class mid-size CNN vs mobile-class CNN; batch unknown vs 1 | 2641 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | unknown power n/a no power published | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
Only Rockchip RV1126B (NPU) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RV1126B (NPU) | 30.90 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 Jetson Orin NX 16GB:
No published semantic segmentation results for NVIDIA Jetson Orin NX 16GB or Rockchip RV1126B (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
Only NVIDIA Jetson Orin NX 16GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin NX 16GB | 432 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | unknown power n/a no power published | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
Rockchip RV1126B (NPU):
No published speech-to-text results for Rockchip RV1126B (NPU) or NVIDIA Jetson Orin NX 16GB 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 Jetson Orin NX 16GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin NX 16GB | 11.00 tok/s generation_throughput · b=1 | Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B | C | unknown power n/a no power published | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
Rockchip RV1126B (NPU):
No published LLM generation results for Rockchip RV1126B (NPU) or NVIDIA Jetson Orin NX 16GB 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.