NUCLEO-L4R5ZI (STM32L4R5ZIT6U) vs Rockchip RK1808 (NPU)
Only Rockchip RK1808 (NPU) has published results here; NUCLEO-L4R5ZI (STM32L4R5ZIT6U) has none for the workloads we track.
| NUCLEO-L4R5ZI (STM32L4R5ZIT6U) | Rockchip RK1808 (NPU) | |
|---|---|---|
| Best object detection | n/a | 66.80 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 | 0 of 7 | 4 of 7 |
Best published object detection result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only Rockchip RK1808 (NPU) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK1808 (NPU) | 37.20 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) |
NUCLEO-L4R5ZI (STM32L4R5ZIT6U):
No published object detection results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
Only Rockchip RK1808 (NPU) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK1808 (NPU) | 49.60 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) |
NUCLEO-L4R5ZI (STM32L4R5ZIT6U):
No published instance segmentation results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (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
No published pose estimation results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (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 RK1808 (NPU) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK1808 (NPU) | 170 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) |
NUCLEO-L4R5ZI (STM32L4R5ZIT6U):
No published image classification results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (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 RK1808 (NPU) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK1808 (NPU) | 4.40 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) |
NUCLEO-L4R5ZI (STM32L4R5ZIT6U):
No published semantic segmentation results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (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 NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (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
No published LLM generation results for NUCLEO-L4R5ZI (STM32L4R5ZIT6U) or Rockchip RK1808 (NPU) 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.