Arduino Ventuno Q 첫 번째 살펴보기: 벤치마크, 사양 및 메인라인 Linux

Estimated reading time: 10 minutes I had the opportunity to see and test Arduino’s new Ventuno Q board at Embedded World 2026 in Nuremberg. This is the second product following Qualcomm’s acquisition of Arduino and once again combines a Dragonwing SoC with an STM32 microcontroller like the Arduino Uno Q. But unlike the Uno Q which is the entry level product in this line-up, the Ventuno Q would target the mid to higher tier of Single Board Computers. If you are not familiar with the Dragonwing SoCs I’m going to explain it to you in this following section. First we have every SoC starting with the prefix QC- following an -S (standalone) or -M (includes modem for 4G / 5G connectivity). There are also the IQ6, IQ8 and IQ9 series which are defined as the industrial solutions and you will find IQ- and QCS- used interchangeably for most of these SoC variants. Most of the Dragonwing SoCs are derivatives of either mobile or automotive grade chips with certain features fused off (probably due to binning) or just rebranded variants for the industrial market. Arduino Ventuno Q Specs and Hardware Overview# Arduino Ventuno Q without Heatsink Source The Ventuno Q features a dual-brain (MPU & MCU) architecture that separates general compute / AI inference from low-latency actuation. Specs# | Arduino Ventuno Q | Details | |---|---| | Microprocessor (MPU) | Qualcomm Dragonwing IQ8 (IQ-8275): • CPU: Octa-core Arm Cortex • Adreno GPU/VPU: Arm Cortex A623 at 877 MHz • Hexagon Tensor AI Processor (NPU): up to 40 dense TOPS • Qualcomm Spectra 692 ISP | | OS | Ubuntu or Debian upstream | | Microcontroller (MCU) | STM32H5F5: • Arm Cortex M33 at 250 MHz • 4 MB flash • 1.5 MB RAM | | OS (MCU) | Arduino core on Zephyr | | RAM | 16 GB LPDDR5 | | Storage | • 64 GB eMMC • M.2 connector for NVMe Gen.4 external storage | | Connectivity | • Wi-Fi 6 2.4/5/6 GHz with onboard antenna • Bluetooth 5.3 with onboard antenna • 1× 2.5 Gbit RJ45 | | Camera | • USB camera support • 3× MIPI CSI connectors muxed with 2× MIPI CSI on JMEDIA header | | Video | • 1× HDMI muxed with MIPI DSI on JMEDIA header • Video output (DP Alt mode) support via USB-C • MIPI DSI pins on JMEDIA header | | Audio | 2× Microphone IN / Headphone OUT / Ear OUT / Line OUT on JMISC header | | Power Supply | • From USB-C connector 5 VDC max at 3 A • 5.5×2.1 mm Power Jack 12–24 VDC • Screw Terminal 7–24 VDC • 7–24 V on JOMEGA | | USB | • 1× USB-C port with host/device role switching, power role switch and video output • 2× USB 3.0 Type A • 2× USB 3.0 on JOMEGA header | | CAN | • 1× CAN-FD PHY on screw terminal • 3× CAN-FD (no PHY) on JOMEGA header • 1× CAN-FD (no PHY) on UNO Shield headers | | Dimensions | 160×100×25.8 mm | The two processors communicate via an RPC bridge: the Qualcomm side runs Linux with the focus on AI workloads, while the STM32 runs Arduino Core on Zephyr for real-time control. The board can run as a standalone desktop or connect to a PC over USB-C or Ethernet for development. Hardware Impressions# The heatsink of the Ventuno Q has a 3D-Printed cover Something that confused me at first was the cover on the heatsink. It turns out for the Expo they had to fall back to using a fan while final units are supposed to run completely passive. I’m happy to see that this is being worked on and that this board compared to the Uno Q has plenty of I/O in the form of a dedicated HDMI port for video, 2.5GbE Network connectivity as well as an M.2 connector so one does not have to rely on the internal EMMC storage which with years of deployment will wear out over time. I also like that there is an internal LED Matrix on it which makes it interesting in the education context as students can have something to “easily” achieve their first microcontroller experience with that is reflected in the real world with their code without needing additional hats. Compared to the Leonardo, with which I had my first experience with Arduino in 2016, this board is obviously in a different league but with compute becoming more accessible (ignoring the DRAM crisis right now) Qualcomm and Arduino are making an interesting case for this class of dual brain SBCs. And I’m glad that even with DRAM prices making for tough choices currently they still opted to ship this SBC with 16GB of LPDDR5 so you can try out more than the smallest AI models and even make the case of this SBC for Desktop usage. Benchmarks# But now to how well it fares and for that we can look at the following GeekBench 6 benchmarks I was able to run on the show floor. The board and software shown are pre-release and not optimised to reflect the best performance possible. Specifications and results may change until release. CPU Benchmark# Single Core# For the sake of comparison the other benchmark results are taken from sbc.compareWhat we can see here is that besides for the Uno Q with its QRB2210 SoC these Dragonwing SoCs use the same Kryo Gold cores which are just regular A78 cores leading to roughly the same single core scores acro