RK1820/RK1828

RK3588 Soc(Host) : As the core of the system, responsible for task
scheduling, resource allocation, and overall control.

RK1820/RK1828 Coprocessor(Device) : As an AI computing acceleration
unit, we focus on high-performance neural network inference tasks.

PCIe : Realize low latency and high bandwidth data exchange between
the main control and co processors.

rknn-smi

rknn-smi (System Management Interface) use as RK1820/RK1828 equipment
information collection, function configuration, and log management
functions.

Software Version: rknn-smi -v

Hardware Version: rknn-smi info -l

Status: rknn-smi info -w

Performance: rknn-smi set -t work_mode -s 2

RKNN3

RK1820/RK1828 SDK dictionary:

   rknn/
   ├── rknn3-model-zoo
   ├── rknn3-runtime
   ├── rknn3-toolkit
   └── rknn-gstreamer-plugins

Model Zoo

Provide deployment examples of classic models on the RK1820/RK1828
platform.

Runtime

The RKNN3 C API is the C language interface for the RKNN3 Runtime.
Developers use C/C++ to develop application programs and deploy model
inference through RKNN3 C API.

Toolkit

RKNN3 Toolkit is a development kit that provides users with model
transformation, inference, and performance evaluation on the PC
platform.

RKNN3 Toolkit

 different from

RKNN-Toolkit

 and

RKNN-Toolkit2

.