AIBOX-9075 KIT Industrial Vision Edge Computing Kit

Qualcomm IQ-9075

Integrated subsystem with quad-core Cortex‑R52 CPU; each Cortex‑R52 CPU runs at up to 1.85 GHz, supporting independent boot via the OSPI interface

Adreno 663 GPU supports safe GPGPU compute, up to840MHz

· Graphics APIs: Vulkan 1.2, OpenGL ES 3.2

· Compute APIs: Vulkan 1.2, OpenCL 2.0 FP, Adreno NN Direct

Qualcomm Spectra 690 ISP Image Signal Processor, featuring 2× Image Front End (IFE) + 5× Lightweight Image Front End (IFE_L). Supports 24-bit HDR Bayer processing, lens distortion correction, advanced tone
mapping, offset correction, lens vignetting correction, dead pixel correction, directional scaling, color lookup table, color space conversion and noise reduction.

Dual Adreno DPU1199 supports image processing features including target scaler, exclusion rectangle extraction, inline rotation, 17×17×17 3D LUT (ViG/DSPP), HDR10 enhancement, wide gamut WCG, corner rounding, and CCCS fixed-point conversion. It also supports UBWC 4.0 and DSC v1.2 image compression technologies.

Dual Hexagon Tensor Processor integrating Qualcomm Hexagon DSP, clocked up to 1.42 GHz. It incorporates 4 Hexagon Vector Extension (HVX) and 2 Hexagon Matrix Extension (HMX) cores, delivering up to 100 TOPS (Dense INT8) / 200 TOPS (Sparse INT8), and achieves 22 token/s for Llama2-7B inference.

Video decoding: 1×8K@60fps, 2×8K@30fps, 4×4K@60fps, 8×4K@30fps, 16×1080p@60fps, 32×1080p@30fps AV1, H.264, VP9, MPEG2

Video encoding: 2×4K@60fps, 4×4K@30fps, 8×1080p@60fps, 16×1080p@30fps H.264, HEIF/HEIC

36GB LPDDR5 (ECC supported)

128GB UFS2.2

1 × M.2 (PCIe 4.0 x4 NVMe 2280 SSD expandable)

Ubuntu, Yocto Linux Software Stack

Supports private deployment of ultra-large parameter models under the Transformer architecture, including the Deepseek-R1 series, Gemma series, Llama series, Qwen series, Phi series and other large language models.

Supports private deployment of image generation models such as Stable Diffusion.

Supports the QNN AI inference framework, as well as multiple deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, ONNX, Keras and Caffe.

DC 12V/5A (5.5 × 2.1mm)

Normal: 12W(12V/1000mA), Max: 60W(12V/5000mA) , Min(Sleep): 1.08W(12V/90mA)

91.40mm × 102.10mm × 71.93mm (with heat sink)

Operating Temperature: -40℃ ~ 85℃, Storage Temperature: -40℃ ~ 90℃, Storage Humidity: 10% ~ 90%RH (non-condensing)

2 × 2.5G Ethernet (2.5Gbps/RJ45)

Wi-Fi & Bluetooth: Supports Wi-Fi 6 and Bluetooth 5.2 (expandable via internal M.2 E-KEY)

4G/5G: Expandable via internal Mini PCIe

8 × GMSL2 (2×4Pin Mini FAKRA)

1 × HD2.0 (4K@60Hz)

2 × USB3.0 (Max: 1A), 1 × Type-C (Debug)

1 × Power Button, 1 × Flash Button

1 × SIM Card, 1 × FAN (2Pin-1.25mm), 1 × Phoenix terminal block (36Pin, 3.5mm pitch): 2 × RS485, 2 × CAN-FD, 12 × Opto-isolated DI/DO