Difference between revisions of "Rock5/hardware/5b"
| Line 5: | Line 5: | ||
[[rock5 | ROCK 5]] > [[rock5/hardware | Hardware]] > [[Rock5/hardware/5b | ROCK5B hardware details]] | [[rock5 | ROCK 5]] > [[rock5/hardware | Hardware]] > [[Rock5/hardware/5b | ROCK5B hardware details]] | ||
| − | |||
| − | |||
In this page we will provide detailed hardware information of ROCK 5B. | In this page we will provide detailed hardware information of ROCK 5B. | ||
| − | == Power == | + | == Power (17) == |
The Radxa ROCK 5 Model B is designed to be an ARM desktop Single Board Computer with low power consumption. It supports the following power input: | The Radxa ROCK 5 Model B is designed to be an ARM desktop Single Board Computer with low power consumption. It supports the following power input: | ||
| Line 18: | Line 16: | ||
* 5V PoE power from the GPIO PIN 2 & 4 | * 5V PoE power from the GPIO PIN 2 & 4 | ||
| − | == Processor == | + | == Processor (8) == |
The SoC powers ROCK 5B is Rockchip RK3588. The main system CPU is a Quad-core ARM Cortex-A76 MPCore processor and quad-core ARM Cortex-A55 MPCore processor, both are high-performance, low-power and cached application processor. Embedded ARM Mali-G610 MP4 3D GPU makes RK3588 completely compatible with OpenGLES 1.1, 2.0, and 3.2, OpenCL up to 2.2 and Vulkan1.2. Special 2D hardware engine with MMU will maximize display performance and provide very smoothly operation. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is up to 6TOPs. In addition, with its strong compatibility, network models based on a series of frameworks such as TensorFlow/MXNet/PyTorch/Caffe can be easily converted. | The SoC powers ROCK 5B is Rockchip RK3588. The main system CPU is a Quad-core ARM Cortex-A76 MPCore processor and quad-core ARM Cortex-A55 MPCore processor, both are high-performance, low-power and cached application processor. Embedded ARM Mali-G610 MP4 3D GPU makes RK3588 completely compatible with OpenGLES 1.1, 2.0, and 3.2, OpenCL up to 2.2 and Vulkan1.2. Special 2D hardware engine with MMU will maximize display performance and provide very smoothly operation. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is up to 6TOPs. In addition, with its strong compatibility, network models based on a series of frameworks such as TensorFlow/MXNet/PyTorch/Caffe can be easily converted. | ||
[[File:Rk3588_block.png | 800px]] | [[File:Rk3588_block.png | 800px]] | ||
| + | |||
| + | [[File:5b_ports.jpg| 600px |right]] | ||
| + | |||
| + | == RAM (11) == | ||
| + | |||
| + | The ram for ROCK 5B is LPDDR 4x, two 32bits LPDDR 4x chips make 64bits, max supported dram frequency is 4224Mhz. ROCK 5B offers 4GB, 8GB and 16GB ram size options. | ||
| + | |||
| + | == 40P GPIO (1) == | ||
| + | |||
| + | == MIPI DSI (2) == | ||
| + | |||
| + | == User LED (3) == | ||
| + | |||
| + | == Power Button (4) == | ||
| + | |||
| + | == Recover Button (5) == | ||
| + | |||
| + | == Power LED (6)== | ||
| + | |||
| + | == M.2 E Key (7)== | ||
Revision as of 14:16, 19 January 2022
ROCK 5 > Hardware > ROCK5B hardware details
In this page we will provide detailed hardware information of ROCK 5B.
Power (17)
The Radxa ROCK 5 Model B is designed to be an ARM desktop Single Board Computer with low power consumption. It supports the following power input:
- USB PD or QC power adapter which support 12V/15V/20V with 2A current or higher output
- Power adapter with fixed 9V to 20V DC voltage and USB C plug
- 5V PoE power from the GPIO PIN 2 & 4
Processor (8)
The SoC powers ROCK 5B is Rockchip RK3588. The main system CPU is a Quad-core ARM Cortex-A76 MPCore processor and quad-core ARM Cortex-A55 MPCore processor, both are high-performance, low-power and cached application processor. Embedded ARM Mali-G610 MP4 3D GPU makes RK3588 completely compatible with OpenGLES 1.1, 2.0, and 3.2, OpenCL up to 2.2 and Vulkan1.2. Special 2D hardware engine with MMU will maximize display performance and provide very smoothly operation. The build-in NPU supports INT4/INT8/INT16/FP16 hybrid operation and computing power is up to 6TOPs. In addition, with its strong compatibility, network models based on a series of frameworks such as TensorFlow/MXNet/PyTorch/Caffe can be easily converted.
RAM (11)
The ram for ROCK 5B is LPDDR 4x, two 32bits LPDDR 4x chips make 64bits, max supported dram frequency is 4224Mhz. ROCK 5B offers 4GB, 8GB and 16GB ram size options.