Specifications
Model
OrangePi O1
SoC
Sophgo BM1688
CPU
8x Arm Cortex-A53 up to 1.65 GHz
Co-processor
RISC-V C906 up to 1.2 GHz
AI Accelerator
Integrated TPU - 16 TOPS INT8 / 32 TOPS INT4
FP16 / FP32
4.0 TFLOPS at FP16/BF16, 0.5 TFLOPS at FP32
Memory
8GB or 16GB LPDDR4 / LPDDR4X
eMMC
Optional 16 / 32 / 64 / 128 GB modules
SPI Flash
Optional 128Mb or 256Mb (mutually exclusive with eMMC)
Mass Storage
M.2 M-Key PCIe 3.0 NVMe SSD + SATA 3.0 + microSD up to 128GB
Video Decode
H.264 / H.265 up to 16 simultaneous 1080p30 streams
Video Encode
H.264 / H.265 up to 10x 1080p30, plus JPEG encode/decode
Board Size
90 x 70 mm
AI Frameworks
Caffe, PyTorch, TensorFlow, ONNX, MXNet
Target Workloads
Large language models, vision-language models, image analysis, multi-object tracking
Vendor
Orange Pi
Overview
The OrangePi O1 is a 90 x 70 mm single board computer built around the Sophgo BM1688, an edge-AI SoC that pairs eight Arm Cortex-A53 cores with a RISC-V C906 co-processor and an integrated TPU. Sophgo rates the TPU at 16 TOPS INT8 peak, doubling to 32 TOPS when INT4 quantisation is used, with 4.0 TFLOPS at FP16/BF16.
What separates the O1 from a generic Arm SBC is storage and memory headroom for model work: up to 16GB of LPDDR4/LPDDR4X, an M.2 M-Key slot for a PCIe 3.0 NVMe SSD, a dedicated SATA 3.0 interface and up to 128GB of optional eMMC. Note that the eMMC and SPI-flash options are mutually exclusive on this board.
Video throughput is specified for multi-channel vision: H.264/H.265 decode of up to sixteen simultaneous 1080p30 streams and encode of up to ten, both with JPEG assistance. Sophgo lists Caffe, PyTorch, TensorFlow, ONNX and MXNet in the toolchain, and the target workloads are explicitly LLM and VLM inference, image analysis and multi-object tracking at the edge.
Key Benefits
16 TOPS INT8 TPU in a 90 x 70 mm board, up to 16GB LPDDR4X for larger models, M.2 NVMe plus SATA 3.0 for local model and dataset storage, and 16-channel 1080p30 decode for multi-camera vision.
Applications
Edge AI inference nodes, multi-camera video analytics, local LLM and VLM serving, industrial machine vision, and robotics perception platforms.
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