Rockchip RK3588S, a new-gen octa-core 64-bit processor, features
frequency of up to 2.4GHz. Equipped with an NPU capable of delivering up
to 6TOPS of computing power, this computer supports up to 32GB of
RAM, 8K video encoding and decoding, Gigabit Ethernet, and dual-band
WiFi. With an industrial-grade metal enclosure and a fanless design,
it is perfect for edge computing, artificial intelligence, smart home,
intelligent retail, and intelligent industry.
RK3588S is Rockchip's new-gen flagship AIoT SoC with the 8nm lithography process. Equipped with an octa-core
64-bit CPU, its frequency is
up to 2.4GHz. It comes with an integrated ARM Mali-G610 MP4 quad-core GPU and a built-in AI accelerator NPU,
providing 6Tops computing
power and supporting mainstream deep learning frameworks. The powerful RK3588S can deliver more optimized
performance in various AI
application scenarios.
The computer supports 8K@60fps H.265/VP9 video decoding and 8K@30fps H.265/H.264 video encoding. It also
supports encoding and
decoding simultaneously — up to 32-channel 1080P@30fps decoding and 16-channel 1080P@30fps encoding can be
achieved. The strong
video encoding and decoding capability delivers a stunning 8K HD display and delicate picture quality.
Up to 32GB of super-large RAM can be configured, exceeding the limit of the previous RAM and delivering a faster
response time. It is
able to meet the product requirements for large RAM and high storage capacity.
It supports 8K HDMI 2.1 and DP1.4 video output. Dual-screen output with different displays can be achieved,
which can
be used in various scenarios of dual-screen interactive display.
Gigabit Ethernet (1000Mbps / RJ45), 2.4GHz/5GHz dual-band WiFi, and Bluetooth 4.2 are supported.
This device comes equipped with an industrial-grade metal enclosure and a fanless design, ensuring not only low
power
consumption and efficient heat dissipation but also absolute silence. 7x24h continuous and stable operation is
supported.
Android and Ubuntu (Desktop Version and Server Version) are supported. The reliable operation provides a safe
and stable system
environment for product research and production.
A wide range of interface options includes HDMI2.1, Gigabit Ethernet, USB3.0, USB2.0, and USB-C (OTG / DP1.4).
A complete SDK, development documents, solutions, technology documents, tutorials, and other resources are
provided for the users
to make a further customization.
The computer can be widely used in edge computing, Artificial Intelligence, smart home, intelligent retail, and intelligent industry.
Basic Specifications | |
SOC |
RockChip RK3588S |
CPU |
Octa-core 64-bit (4×Cortex-A76+4×Cortex-A55), 8nm lithography process, frequency up to 2.4GHz |
GPU |
ARM Mali-G610 MP4 quad-core GPU Supports OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1, 450 GFLOPS |
NPU |
6 TOPS Supports INT4/INT8/INT16 mixed operation Supports framework switching of TensorFlow / MXNet / PyTorch / Caffe |
VPU |
Video decoding: 8K@60fps H.265/VP9/AVS2, 8K@30fps H.264 AVC/MVC, 4K@60fps AV1, 1080P@60fps MPEG-2/-1/VC-1/VP8 Video encoding: 8K@30fps encoding, supporting H.265 / H.264 |
RAM |
4GB/8GB/16GB (Up to 32GB optional) 64bit LPDDR4/LPDDR4x/LPDDR5 |
Storage |
16GB/32GB/64GB/128GB eMMC |
Storage Expansion |
1 * TF Card |
Wireless Network |
2.4G/5GHz dual-band WiFi, 802.11 a/b/g/n/ac, Bluetooth 4.2 |
Ethernet |
1 * Gigabit Ethernet (1000Mbps / RJ45) |
Video |
1 * HDMI2.1 (8K@60fps or 4K@120fps), 1 * DP1.4 (8K@30fps) Supports dual screen output with different displays |
Audio |
1 * 3.5mm audio jack (with Mic recording) 1 * HDMI2.1 audio output 1 * DP1.4 audio output |
USB |
1 * USB3.0 (current limit: 1A), 1 * USB2.0 (current limit: 500mA), 1 * USB-C multi-function port(USB3.0 OTG / DP1.4)(current limit: 2A) |
Power |
DC 12V (5.5*2.1mm, voltage tolerance ±5%) |
OS |
Android, Ubuntu (Desktop /Server) |
Size |
116mm * 96.4mm * 31.5mm |
Weight |
≈0.43kg |
Power Consumption |
Idle: ≈0.48W (12V/40mA) Typical: ≈1.8W(12V150mA) Max: ≈12W(12V/1A) |
Environment |
Operating Temperature: -20℃~60℃ Storage Temperature: -20℃~70℃ Operating humidity: 10%~90% (non-condensing) |
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