Radxa Cubie A7Z 1GB Tiny Size, Mighty AI SBC
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Radxa Cubie A7Z 1GB Ultra-Compact AI SBC: Power, Performance, and Portability in a Tiny Form Factor
The Radxa Cubie A7Z redefines compact computing with its ultra-tiny 65 x 30 mm design while offering performance that rivals larger single board computers. Powered by the Allwinner A733 SoC, this board integrates a high-performance octa-core CPU combining dual Arm Cortex-A76 cores and six Arm Cortex-A55 cores, along with the Imagination PowerVR BXM-4-64 MC1 GPU for advanced graphics. The built-in 3 TOPS NPU delivers seamless AI acceleration, making it an ideal choice for edge AI applications such as robotics, computer vision, image recognition, voice processing, and smart IoT devices.
Despite its small footprint, the Cubie A7Z ensures excellent mechanical compatibility, thermal stability, and reliable integration into space-constrained projects. Its energy-efficient design reduces latency by enabling AI inference directly at the edge, ensuring enhanced privacy and faster response times for real-time intelligent workloads. Whether you are building compact embedded solutions, portable devices, or AI-driven IoT systems, the Radxa Cubie A7Z provides unmatched versatility and performance in a miniaturised form.
Key Features of Radxa Cubie A7Z
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Ultra-Compact Design: Measures only 65 x 30 mm, engineered for projects with limited space.
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High-Performance CPU: Allwinner A733 SoC with octa-core hybrid architecture (dual Cortex-A76 + six Cortex-A55).
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Advanced GPU: Imagination PowerVR BXM-4-64 MC1 for efficient graphics and rendering.
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Integrated AI NPU: 3 TOPS INT8 Neural Processing Unit for accelerated machine learning at the edge.
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Edge AI Applications: Optimised for robotics, smart vision, voice AI, IoT devices, and embedded automation.
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Reliable & Compatible: Exceptional thermal stability, mechanical compatibility, and durability for long-term use.
Tech Specs :
| Category | Specification |
|---|---|
| SoC | Allwinner A733 |
| CPU | 2× Arm® Cortex®-A76 up to 2.0GHz6× Arm® Cortex®-A55 up to 1.8GHz1× Alibaba RISC-V XuanTie E902 up to 200MHz |
| GPU | Imagination BXM-4-64 MC1Vulkan® 1.3OpenGL® ES 3.2OpenCL® 3.0 |
| NPU | Computing Power: 3 TOPSPrecision Support: INT8 / INT16 / FP16 / FP32 |
| Codec | Video Encoder: H.265 / H.264 up to 4K@30fpsVideo Decoder: H.265 / VP9 / AVS2 up to 8K@24fpsH.264 up to 4K@30fps |
| RAM | Optional LPDDR4 / LPDDR4x RAM Configurations: 1GB / 2GB / 4GB / 6GB / 8GB / 16GB |
| Storage | 1× MicroSD Card Slot1× Optional onboard UFS storage1× PCIe Gen3.0 1-lane, supports NVMe SSD expansion |
| Video Output | 1× Micro HDMI 2.0, supports displays up to 4Kp60 resolution |
| Video Input | 1× MIPI Camera InterfaceConfigurable as 1× 4-lane MIPI CSI or 2× 2-lane MIPI CSIIdeal for AI vision applications |
| Network | 1× onboard WiFi 6 / BT 5.4 with external antenna |
| USB | 1× USB 2.0 Type-C with Power and OTG1× USB 3.1 Type-C with DP Alt Mode |
| Power | 1× USB 2.0 Type-C, 5V/2A |
| Button | 1× USB BOOT Button |
| GPIO | 40-Pin GPIO Header with I2C / SPI / PWM / I2S etc. |
| Dimension | 65 mm × 30 mm |
Package Includes:
1 x Radxa Cubie A7Z 1 GB Tiny Size, Mighty AI SBC