Firefly
ROC-RK3568-PC Quad-Core ARM Single Board Computer
ROC-RK3568-PC Quad-Core ARM Single Board Computer
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ROC-RK3568-PC Quad-Core ARM Single Board Computer is a Firefly product sold by Ai-Paipai. Key specifications — Soc: RockChip RK3568 · Ram: 2GB / 4GB / 8GB LPDDR4 32-bit bit width, frequency up to… · Storage: 32GB / 64GB / 128GB eMMC M.2 PCIe 3.0 × 1 (supports 2242… · Ethernet: Supports dual Gigabit Ethernet (RJ45, 1000 M bps) · Display: 1 × HDMI2.0, supports 4K@60fps output 2 × MIPI DSI,…. Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK / OS images, OEM / ODM customization, and worldwide shipping.
✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)
This product is supplied by an authorized distributor of the original brand. We provide local technical support, pre-installed SDK / mirror images, and OEM / ODM customization, plus fast global shipping.
ROC-RK3568-PC supports M.2 and SATA3.0 interfaces, and can expand large-capacity hard drives; it has dual Gigabit Ethernet ports and supports WiFi 6 wireless transmission; the unique Control Port interface can connect RS485 and RS232 devices; it supports multiple operating systems and multiple startup methods; it is equipped with dedicated applications and player forums, and geek gameplay is endless.
- Product Wiki: Click Here
Feature
- RK3568 Quad-core 64-bit Processor: RK3568 quad-core 64-bit Cortex-A55 processor, utilizing the new ARMv8.2-A architecture, with a maximum frequency of 2.0 GHz, for greatly improved performance. This processor features 22nm advanced technology, resulting in low power consumption and high performance.
- 8GB Large Memory Capacity: The maximum memory capacity can reach 8GB, the bit width can reach 32Bit, and the frequency can reach up to 1600MHz; making data more secure and reliable, and meeting the requirements of large memory product application scenarios.
- Integrated GPU, VPU, NPU Coprocessor: It integrates a dual-core GPU, a high-performance VPU, and a high-performance NPU. The GPU supports OpenGL ES3.2/2.0/1.1 and Vulkan1.1; the VPU can achieve 4K 60fps H.264/VP9 video decoding and 1080P 60fps H.264 video encoding; the NPU supports one-click switching of mainstream architecture models such as Caffe/TensorFlow.
- Multiple Display Interfaces, Support for Dual Cameras: With MIPI-CSI x2, MIPI-DSI ×2, HDMI2.0, EDP video interface, it can support up to three screens with different display output; built-in 8M ISP image signal processor, it can support dual cameras and HDR function; the video input interface can be used to connect external cameras or expand the input capacity of multiple cameras.
Hardware Overview
Shipping list
- Main unit × 1
- Power adapter / cable (region plug on request) × 1
- Accessories vary by configuration — contact us for the exact included list.
Document links will be replaced with the official Firefly resource URLs on request.
Our cooperating carriers: FedEx, DHL, UPS, SF Express
Delivery Area And Cost
| Country/Region | 0–2kg | 2–3kg | 3–4kg | 4–5kg | 5–6kg | 6–7kg | 7–8kg | 8–9kg | 9–10kg |
|---|---|---|---|---|---|---|---|---|---|
| Japan, Taiwan, Hong Kong, Macau | $15 | $20 | $25 | $30 | $35 | $40 | $45 | $50 | $55 |
| Singapore, Thailand, Malaysia | $20 | $25 | $30 | $35 | $40 | $45 | $50 | $55 | $60 |
| Indonesia, Philippines | $25 | $30 | $40 | $50 | $60 | $70 | $80 | $85 | $95 |
| South Korea | $25 | $35 | $35 | $45 | $45 | $55 | $55 | $65 | $65 |
| United States, Australia, New Zealand, Canada, UK, and most of Western Europe | $30 | $45 | $55 | $65 | $75 | $85 | $95 | $105 | $115 |
| Other regions (Eastern Europe, Middle East, Latin America, etc.) | $50 | $65 | $80 | $95 | $110 | $125 | $135 | $150 | $165 |
Shipping time is for reference only; the actual situation shall prevail.
- Authorized & Genuine — sourced directly from brand-approved channels.
- Local Engineering Support — datasheets, SDKs, and pre-flashed images in English and Chinese.
- OEM / ODM & FPGA Customization — tailor specs, enclosures, and BSP for your project.
- One-Stop Sourcing — Firefly + youyeetoo + our own FPGA / edge lineup in one store.
Frequently asked questions
What is ROC-RK3568-PC Quad-Core ARM Single Board Computer used for?
ROC-RK3568-PC Quad-Core ARM Single Board Computer is a Single Board Computer (SBC) from Firefly. It is typically used in embedded computing, edge AI inference, industrial control and rapid prototyping, and can be integrated into custom carrier boards or finished devices.
Does ROC-RK3568-PC Quad-Core ARM Single Board Computer include technical support, datasheets or pre-flashed images?
Yes. Ai-Paipai supplies this item as an authorized distributor and provides local engineering support, datasheets, SDKs and pre-flashed system images where applicable, plus OEM / ODM customization for volume projects.
Can I order ROC-RK3568-PC Quad-Core ARM Single Board Computer with OEM / ODM options or CE / FCC / RoHS certification?
OEM / ODM customization (specs, enclosure, BSP) is available, and CE / FCC / RoHS certified options can be provided on request for EU and US imports. Contact us for a quote.
How is ROC-RK3568-PC Quad-Core ARM Single Board Computer shipped, and what is the lead time?
Orders ship worldwide from Shenzhen. Stock items typically dispatch within a few business days; configurable or made-to-order variants take longer. Exact lead time is shown at checkout or on request.
Specifications
| Product Wiki | Click Here |
| RK3568 Quad-core 64-bit Processor | RK3568 quad-core 64-bit Cortex-A55 processor, utilizing the new ARMv8.2-A architecture, with a maximum frequency of 2.0 GHz, for greatly improved performance. This processor features 22nm advanced technology, resulting in low power consumption and high performance. |
| 8GB Large Memory Capacity | The maximum memory capacity can reach 8GB, the bit width can reach 32Bit, and the frequency can reach up to 1600MHz; making data more secure and reliable, and meeting the requirements of large memory product application scenarios. |