
Pine64 Oz64
RISC-V and ARM dual-ISA single board computer powered by the Sophgo SG2000 SoC with 512MB DDR3, WiFi 6, BLE 5.2, 10/100 Ethernet, dual MIPI-CSI camera ports, and 0.5 TOPS NPU. Hardware switch selects between RISC-V and ARM boot. Priced from $12.99.
$12.99
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Specifications
Components
Bus Interfaces
GPIO Map
Overview
The Pine64 Oz64 is a compact single board computer that uniquely offers both RISC-V and ARM Cortex-A53 execution via a hardware switch on the Sophgo SG2000 SoC. The board features a 1GHz T-Head C906 RISC-V 64-bit main core, a 700MHz C906 co-processor core, an ARM Cortex-A53 at 1GHz (hardware-selectable), and an 8051 low-power MCU at up to 300MHz — all backed by 512MB of DDR3 memory integrated directly into the SoC package.
Connectivity is a standout feature with WiFi 6 (802.11ax) and BLE 5.2 via the AIC8800DC module, plus onboard 10/100 Mbps Ethernet with optional PoE support. The board includes dual MIPI-CSI camera connectors, MIPI-DSI display output, a 3.5mm audio jack with built-in microphone, microSD and eMMC storage options, and an ATECC608A hardware security element — all in an 85mm x 56mm form factor.
The Oz64 runs Debian Linux on RISC-V with growing support from the Sophgo ecosystem. The 0.5 TOPS INT8 NPU enables edge AI inference, and the dual camera ports make it particularly suited for computer vision and security applications. Apache NuttX RTOS support is also available for real-time embedded use cases, and the unique ARM/RISC-V hardware switch makes it an excellent platform for cross-ISA development and benchmarking.
Use Cases
4IoT
Internet of Things applications including connected sensors, actuators, and smart devices that communicate over WiFi, BLE, LoRa, or other wireless protocols.
IoT Gateway
Acting as a local IoT gateway that aggregates data from sensors, runs MQTT broker, Node-RED, or Home Assistant, and bridges to the cloud.
Security Camera
WiFi-connected camera for surveillance, motion detection, and remote video monitoring.
Environmental Monitoring
Monitoring environmental conditions like temperature, humidity, air quality, and weather data using remote sensors.
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