Luckfox Core3576 Module, Rockchip RK3576 Octa-Core 2.2GHz Processor, Features A big.LITTLE Architecture, 6 TOPS Computing Power NPU, Options For RAM And eMMC
- Stock: In Stock
- Model: Core3576
- Weight: 0.02kg
- Dimensions: 69.65mm x 45.00mm x 0.00mm
Available Options
Processor | Quad-core Arm Cortex-A72@2.2GHz + Quad-core Arm Cortex-A53@2.0GHz |
RAM | Options for 4 / 8GB LPDDR4X RAM |
Storage | Options for 0 / 32 / 64GB eMMC Flash |
NPU | 6 TOPS@INT8, supports INT4, INT8, INT16, FP16, BF16, TF32 mixed operation |
GPU | ARM Mali G52 MC3@0.9GHz, supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0 and Vulkan 1.1, and built-in high-performance 2D/3D acceleration hardware |
ISP | Built-in 16MP ISP, supports multiple algorithm accelerators such as HDR, 3A, CAC, 3DNR, 2DNR, Sharpening, Dehaze, Enhance, Debayer, and small-angle lens distortion correction, etc. |
Video | Decoding: 4K@120fps (H.265/HEVC, VP9, AVS2, AV1); 4K@60fps (H.264/AVC) |
Encoding: 4K@60fps (H.265/HEVC, H.264/AVC) | |
Connectivity | Supports 1000M Ethernet × 2 |
Expandable for 2.4GHz/5GHz dual-band Wi-Fi 6, Bluetooth 5.2 | |
Video Output | HDMI2.1 (4K@120fps) × 1 / eDP1. 3(4K@60fps) × 1 |
4-lane MIPI DSI (2K@60fps) × 1 | |
Video Input | MIPI CSI DPHY × 2 |
MIPI CSI D/CPHY | |
PCIe/SATA | PCIe 2.1/SATA3.1 × 2 |
USB | USB3.2 Gen1 OTG (5Gbps), supports DP protocol |
USB3.2 Gen1 interface (5Gbps) | |
USB2.0 interface | |
SDIO | SDIO3.0 × 2 |
CAN | CAN FD × 2 |
ADC | SARADC × 8 |
Expansion interfaces | I2C × 10; I3C × 2; UART × 12; SPI × 5; CAN × 2; Multiple GPIOs |
Connector | 260 Pin SO-DIMM Connector |
Power input | 5V DC |
Outline Dimensions | 69.6mm × 45mm |
Others | Supports 38KHz infrared input |
Low power RTC chip with backup battery input |
Note: the actual number of available interfaces may be reduced due to pin multiplexing.
Equipped with high-performance RK3576 processor, integrated with quad-core Cortex-A72 and quad-core Cortex-A53, providing strong performance and high energy efficiency
Equipped with 6 TOPS computing power, easy to convert a variety of neural network models based on TensorFlow, MXNet, PyTorch, and Caffe frameworks.
Object Recognition
Face Recognition
Vehicle Recognition
Pedestrian Detection
Text Recognition
Semantic Segmentation
Supports 4K@120fps (H.265/HEVC, VP9, AVS2, AV1), 4K@60fps (H.264/AVC) decoding and 4K@60fps (H.265/HEVC, H.264/AVC) encoding, easy to deal with HD video tasks
Supports Three Video Outputs Including MIPI DSI, HDMI2.1 (4K@120fps) Or eDP1.3 (4K@60fps), And Adapting DP Interface Via USB, Enabling Multi-screen Display
Different types of traffic can be distributed to different network interfaces: one for external Internet connection and another for internal LAN, which improves security and management flexibility
Adopts SO-DIMM connector, supports a wide range of expansion interfaces such as HDMI, MIPI-DSI, DP, MIPI-CSI, PCIe2.0/SATA3, SDIO, GMAC, USB3.0, USB2.0, I2C, I3C, SPI, I2S, UART, GPIO, etc. providing support for a variety of applications, allowing users to quickly apply it to the projects
Widely used in edge computing, local deployment of large models, intelligent commercial displays, cloud terminal products, industrial control hosts, automotive electronics, and more
Package Contains
OPTIONS Core3576 module x 1