Finding the best single-board computer requires balancing performance, versatility, and price. The Raspberry Pi 5 8GB stands out as the overall top choice for its combination of power and affordability, making it suitable for most projects. For those needing high-end AI capabilities, the NVIDIA Jetson Orin Nano offers impressive processing power, though at a higher cost. Budget-conscious buyers might prefer the Orange Pi 4 Pro for its Wi-Fi 6 and AI features at a lower price point. Keep reading to see how these options compare and which one aligns with your needs.
Key Takeaways
- The top-tier performance is concentrated in high-end boards like the NVIDIA Jetson Orin Nano and LattePanda 3 Delta, suitable for AI and development tasks.
- The Raspberry Pi 4 and Raspberry Pi 5 offer excellent versatility at a more accessible price, making them ideal for hobbyists and general use.
- Connectivity features such as dual Ethernet ports and Wi-Fi 6 are becoming common in mid-range boards, broadening potential applications.
- Choosing a board with expandable storage options like M.2 NVMe can significantly impact project scalability and speed.
- Tradeoffs between power, cost, and ease of use are central to selecting the right single-board computer; more powerful options generally come with increased complexity and price.
| Raspberry Pi 4 Model B 8GB Single Board Computer |  | Best Overall for Versatile DIY Projects | RAM: 8 GB | Processor Speed: 1.5 GHz | USB Ports: 2 (USB 3.0) | VIEW LATEST PRICE | See Our Full Breakdown |
| NVIDIA Jetson Orin Nano Super Developer Kit |  | Best for AI and Robotics Development | AI Performance: Up to 67 TOPS | GPU: Ampere GPU | CPU: 6-core ARM | VIEW LATEST PRICE | See Our Full Breakdown |
| Cubie A5E, 8-core CPU, Dual Gigabit Ethernet Ports, Supporting M.2 2230 NVMe SSD |  | Best for Industrial and Network-Intensive Tasks | CPU: Allwinner A527/T527 8-core | Connectivity: Dual Gigabit Ethernet, M.2 NVMe | Storage: Supports NVMe SSD | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 3 Model B+ |  | Best for Budget-Conscious and General Use | Processor: 1.4 GHz quad-core | RAM: 1 GB LPDDR3 | Connectivity: Dual-band Wi-Fi, Ethernet | VIEW LATEST PRICE | See Our Full Breakdown |
| LattePanda 3 Delta x86 Single Board Computer with Intel N5105, 8GB RAM, 64GB eMMC, and Arduino Coprocessor |  | Best for Windows/Linux Compatibility and Hardware Projects | CPU Model: Intel Celeron N5105 | RAM: 8 GB DDR4 | Storage: 64 GB eMMC | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 5 8GB |  | Best Overall Single-Board Computer | RAM Memory Installed: 8 GB | Memory Storage Capacity: 8 GB | Processor Speed: 2.4 GHz | VIEW LATEST PRICE | See Our Full Breakdown |
| Orange Pi 4 Pro 4GB Single Board Computer with AI NPU and Wi-Fi 6 |  | Best for AI and Industrial Applications | SoC: Allwinner A733 | CPU: 2x Cortex-A76 + 6x Cortex-A55 @ 2.0GHz | GPU: Imagination BXM-4-64 | VIEW LATEST PRICE | See Our Full Breakdown |
| Radxa Rock 2A Single Board Computer, RK3528A Quad-Core CPU, GPU, 4K HDMI and Gigabit Ethernet |  | Best for Media and Development Projects | Processor: RK3528A Quad-Core | CPU: Quad-core | GPU: Integrated GPU | VIEW LATEST PRICE | See Our Full Breakdown |
More Details on Our Top Picks
Raspberry Pi 4 Model B 8GB Single Board Computer
The Raspberry Pi 4 Model B 8GB stands out as the most adaptable SBC in this lineup, thanks to its increased RAM and powerful quad-core CPU. Compared with the LattePanda 3 Delta, it offers a lower price point and broader community support, making it ideal for hobbyists and educators. While it excels in building media centers, mini PCs, or robotics, it demands external storage options and consumes more power than smaller boards. Dual 4K output via micro HDMI supports high-res displays, and USB 3.0 ports enable fast data transfer, but the need for external Wi-Fi adapters can complicate connectivity. This pick makes the most sense for users seeking affordability, flexibility, and extensive software resources.
Pros:- Significantly faster CPU and 8GB RAM for multitasking
- Dual 4K @ 60Hz video output supports high-quality displays
- USB 3.0 ports enable rapid data transfer
- Vast community and software ecosystem
Cons:- Requires external Wi-Fi adapter (not included)
- Higher power consumption due to USB-C power needs
- Limited internal storage, relies on SD cards
Best for: DIY enthusiasts, educators, and hobbyists seeking a versatile, well-supported single-board computer for multimedia and robotics projects.
Not ideal for: Users needing an all-in-one compact solution with integrated Wi-Fi or minimal power consumption, such as portable embedded systems.
- RAM:8 GB
- Processor Speed:1.5 GHz
- USB Ports:2 (USB 3.0)
- Connectivity:Ethernet, Bluetooth 5.0
- Video Output:Dual 4K@60Hz via micro HDMI
- Power Input:USB Type-C (5V 3.0A)
- Dimensions:2.76″ x 1.1″ x 3.74″
Bottom line: This is the best choice for users wanting a flexible, powerful SBC suitable for a wide range of projects, despite some power and storage limitations.
NVIDIA Jetson Orin Nano Super Developer Kit
The NVIDIA Jetson Orin Nano Super Developer Kit redefines edge AI with up to 67 TOPS of AI performance, surpassing the Radxa Cubie A5E in AI capabilities. It offers a compact form factor packed with extensive I/O, including dual MIPI CSI connectors for high-res cameras, and supports complex AI models like transformers. While the Radxa Cubie A5E is better suited for industrial tasks with its NPU and industrial-grade performance, the Jetson Orin Nano provides unmatched inference speed for AI applications and autonomous robotics. Its ecosystem supports NVIDIA’s deep learning frameworks, accelerating prototyping of advanced AI solutions. However, its higher price and power requirements make it less suitable for simple projects.
Pros:- Up to 67 TOPS AI performance enables complex models
- Compact design with extensive I/O options
- Supports NVIDIA AI software stack and ecosystem
- Runs modern AI models including transformers
Cons:- Higher cost (around $249)
- Requires significant power supply
- Complexity may be overwhelming for beginners
Best for: AI researchers, robotics engineers, and developers building autonomous edge devices requiring high AI throughput.
Not ideal for: Basic hobbyists or users looking for an affordable SBC for simple media or IoT tasks.
- AI Performance:Up to 67 TOPS
- GPU:Ampere GPU
- CPU:6-core ARM
- Memory:8GB
- Connectivity:Multiple I/O including MIPI CSI
- Form Factor:Compact developer kit
Bottom line: Ideal for advanced AI development at the edge, though its price and power needs make it less suitable for casual projects.
Cubie A5E, 8-core CPU, Dual Gigabit Ethernet Ports, Supporting M.2 2230 NVMe SSD
The Cubie A5E excels in demanding industrial environments with its 8-core CPU and dual Gigabit Ethernet ports, making it a strong candidate for network-heavy applications. Its support for M.2 NVMe SSDs offers high-speed storage, suitable for data logging or edge computing. Compared to the Raspberry Pi 3 Model B+, which is more general-purpose, the Cubie A5E provides robust connectivity and processing power tailored for industrial IoT and network infrastructure. The inclusion of the T527 NPU (2 TOPs) enhances computational tasks, but its relatively limited community support and niche focus can be drawbacks for hobbyist projects. Its compact size and industrial design make it ideal for embedded systems requiring reliable networking and processing.
Pros:- 8-core processor for demanding tasks
- Dual Gigabit Ethernet ports for high-speed networking
- Supports M.2 NVMe SSD for fast storage
- NPU adds AI acceleration capabilities
Cons:- Limited community and software ecosystem
- Niche industrial focus reduces versatility for everyday use
- Higher complexity for setup compared to hobbyist SBCs
Best for: Industrial IoT, network infrastructure, and demanding edge computing environments.
Not ideal for: Casual hobbyists or media center builders seeking broad software support or multimedia features.
- CPU:Allwinner A527/T527 8-core
- Connectivity:Dual Gigabit Ethernet, M.2 NVMe
- Storage:Supports NVMe SSD
- NPU:2 TOPs
- Form Factor:Single board
Bottom line: Best suited for industrial or network applications where reliable connectivity and high processing power are critical, despite limited general-purpose flexibility.
Raspberry Pi 3 Model B+
The Raspberry Pi 3 Model B+ remains a reliable and affordable choice for basic computing needs, featuring a 1.4GHz quad-core processor and dual-band Wi-Fi. Compared with the LattePanda 3 Delta, it offers a lower price and a broader user base, making it ideal for education, simple media projects, and lightweight server applications. Its four USB ports support multiple peripherals, but it lacks built-in storage and requires an SD card. The limited RAM (1GB) constrains multitasking and intensive tasks, and it doesn’t support smart home integrations as well as more recent SBCs. Nevertheless, its simplicity and extensive community make it a go-to for entry-level or budget projects.
Pros:- Affordable and widely supported
- Quad-core 1.4GHz processor handles basic tasks well
- Dual-band Wi-Fi improves network stability
- Multiple OS support and large community
Cons:- No built-in storage (relies on SD card)
- Limited to 1GB RAM for multitasking
- No native smart home compatibility
Best for: Beginners, educators, and budget-focused users needing basic computing or media projects.
Not ideal for: Power users or developers needing high-performance AI, multimedia, or industrial features.
- Processor:1.4 GHz quad-core
- RAM:1 GB LPDDR3
- Connectivity:Dual-band Wi-Fi, Ethernet
- USB Ports:4
- Operating System:Multiple OS support
- Form Factor:Compact SBC
Bottom line: A solid, affordable choice for entry-level users and educational purposes, despite its limited performance for demanding applications.
LattePanda 3 Delta x86 Single Board Computer with Intel N5105, 8GB RAM, 64GB eMMC, and Arduino Coprocessor
The LattePanda 3 Delta offers the familiar x86 architecture, supporting full Windows 10/11 and Linux, making it a top pick for developers needing compatibility with desktop software. Its Intel N5105 CPU and 8GB RAM provide robust performance for complex applications, surpassing the Raspberry Pi 4 in flexibility for software compatibility. The inclusion of an Arduino Leonardo-compatible coprocessor simplifies hardware integrations, ideal for robotics and IoT projects. Dual M.2 slots enable fast NVMe storage and 5G expansion, while Wi-Fi 6 and 2.5GbE ensure low-latency networking. However, its higher price, larger size, and limited storage (64GB eMMC) can be drawbacks for budget-conscious or space-constrained users. It shines in industrial, robotics, and edge AI contexts where compatibility matters most.
Pros:- Supports Windows 10/11 and Linux natively
- Integrated Arduino coprocessor for hardware interfacing
- Dual M.2 slots for fast storage and 5G modules
- Supports Wi-Fi 6 and 2.5GbE
Cons:- Higher price point compared to basic SBCs
- Limited 64GB eMMC storage
- Larger form factor may be less suitable for compact spaces
Best for: Industrial automation, robotics, and developers needing native Windows or Linux support with hardware integration.
Not ideal for: Casual hobbyists or users seeking a low-cost SBC for simple media or IoT tasks.
- CPU Model:Intel Celeron N5105
- RAM:8 GB DDR4
- Storage:64 GB eMMC
- Connectivity:Wi-Fi 6, 2.5GbE Ethernet
- Expansion Slots:Dual M.2
- Operating System:Windows 10/11 & Linux
Bottom line: Best suited for users needing desktop OS compatibility and hardware flexibility, despite higher costs and space considerations.
Raspberry Pi 5 8GB
The Raspberry Pi 5 8GB stands out for its impressive combination of performance, connectivity, and flexibility, making it the top choice for a wide range of projects. Its 8GB LPDDR4X RAM and quad-core ARM processor at 2.4 GHz provide a significant boost over the Raspberry Pi 4, enabling smoother multitasking and more demanding applications. Compared with the NVIDIA Jetson Orin Nano, it offers a more accessible ecosystem and broader community support, though it doesn’t match the Jetson’s raw AI processing power. Its multiple USB ports, HDMI output, and wireless options (Wi-Fi 6 and Bluetooth) make it highly versatile for media, automation, or server tasks. A notable tradeoff is that it lacks the specialized GPU acceleration of more AI-focused boards like the NVIDIA Jetson, which could limit its performance in certain AI or machine learning projects. This pick makes the most sense for hobbyists, educators, and developers seeking a reliable, well-supported single-board computer with broad compatibility.
Pros:- Powerful 8GB LPDDR4X RAM supports multitasking and demanding applications
- Quad-core ARM processor at 2.4 GHz offers significant performance boost
- Rich connectivity with HDMI, Bluetooth, Wi-Fi 6, and multiple USB ports
- Strong community support and extensive software ecosystem
Cons:- Lacks dedicated GPU acceleration for advanced AI or graphics tasks
- Higher price point compared to earlier Raspberry Pi models
- Limited onboard storage options, relying on microSD or external drives
Best for: Hobbyists, educators, and developers who want a reliable, versatile platform with broad community support.
Not ideal for: High-end AI research or robotics projects requiring specialized GPU acceleration or real-time processing.
- RAM Memory Installed:8 GB
- Memory Storage Capacity:8 GB
- Processor Speed:2.4 GHz
- Connectivity Technology:Bluetooth, HDMI
- Operating System:Raspberry Pi OS
- Processor Brand:ARM
Bottom line: Ideal for those needing a balanced mix of performance, flexibility, and community support in a single-board computer.
Orange Pi 4 Pro 4GB Single Board Computer with AI NPU and Wi-Fi 6
The Orange Pi 4 Pro 4GB is tailored for AI inference, robotics, and industrial projects, offering impressive computational capabilities at a competitive price. Its octa-core Allwinner A733 processor (2.0 GHz) combined with a 3 TOPS AI NPU provides real-time AI processing, surpassing the basic GPU support seen in the Radxa Rock 2A. Compared with the Radxa Rock 2A’s general-purpose processing, the Orange Pi 4 Pro’s dedicated NPU accelerates AI workloads significantly, though it requires more technical expertise to optimize for specific applications. Its support for multiple OS, including Android, Linux, and OpenHarmony, broadens deployment options, while Wi-Fi 6 and Gigabit Ethernet with PoE simplify network integration. The main tradeoff is its limited onboard storage, which depends on external eMMC or microSD modules, and a smaller PCB that may restrict future expansion. This device makes the most sense for engineers and industrial users needing high-performance AI inference in a compact, cost-effective package.
Pros:- Octa-core CPU with 2.0 GHz speed provides robust processing power
- Dedicated 3 TOPS AI NPU for accelerated AI inference
- Supports multiple operating systems including Android and Linux
- Wi-Fi 6 and PoE support simplify network and power integration
Cons:- Limited onboard storage, relies on external eMMC or microSD
- Smaller PCB size limits expansion options
- Requires technical expertise for optimal AI application setup
Best for: Engineers, industrial developers, and AI practitioners focusing on edge computing and embedded AI inference.
Not ideal for: General-purpose desktop or media server applications that require extensive onboard storage or high-end GPU graphics.
- SoC:Allwinner A733
- CPU:2x Cortex-A76 + 6x Cortex-A55 @ 2.0GHz
- GPU:Imagination BXM-4-64
- NPU:3 TOPS @ INT8
- Memory:4GB LPDDR5
- Connectivity:Wi-Fi 6 + Gigabit Ethernet (PoE)
Bottom line: Perfect for professionals needing a compact, cost-effective AI edge device with dedicated inference acceleration.
Radxa Rock 2A Single Board Computer, RK3528A Quad-Core CPU, GPU, 4K HDMI and Gigabit Ethernet
The Radxa Rock 2A offers a well-rounded set of features for media streaming, DIY projects, and embedded development, making it a versatile choice for hobbyists and professionals alike. Its RK3528A quad-core CPU and integrated GPU support 4K HDMI output, providing smooth media playback and lightweight graphical tasks, which makes it a strong competitor against the LattePanda or Cubie A5E for multimedia applications. Compared to the Raspberry Pi 5, it may lack the extensive software ecosystem, but its hardware flexibility and Gigabit Ethernet with PoE capabilities give it an edge in network-dependent projects. The board’s multiple USB ports and broad I/O support facilitate a variety of peripherals, while its compatibility with RP5 ecosystem enhances expandability. A key limitation is the absence of onboard storage, requiring external microSD or eMMC modules, which could be a hurdle for some users. This device is best suited for media centers, embedded projects, or small-scale development environments where balanced graphics and connectivity are priorities.
Pros:- Supports 4K HDMI output for high-quality media playback
- Quad-core RK3528A CPU with efficient processing
- Gigabit Ethernet with PoE for reliable network connectivity
- Multiple USB ports for peripherals
Cons:- No onboard storage—relies on external microSD or eMMC
- Limited GPU capabilities for intensive graphical tasks
- Smaller community support compared to Raspberry Pi
Best for: Media centers, DIY developers, and embedded system creators needing 4K output and flexible I/O options.
Not ideal for: AI-heavy applications or projects requiring extensive onboard storage and GPU acceleration beyond basic graphics.
- Processor:RK3528A Quad-Core
- CPU:Quad-core
- GPU:Integrated GPU
- Video Output:4K HDMI
- Memory:4 GB
- Connectivity:Gigabit Ethernet with PoE
Bottom line: A solid choice for media, multimedia, and embedded projects demanding high-quality output and flexible connectivity.
How We Picked
To determine the best single-board computers, I focused on key criteria including processing power, connectivity options, ease of use, build quality, and value for money. I evaluated each model’s hardware specifications, expansion capabilities, and user feedback to identify which boards excel in different scenarios. The ranking reflects a balance between high-performance features and practical usability, ensuring options suit a range of users from hobbyists to developers. Cost and long-term support also influenced the placement, with more versatile and future-proof boards ranking higher in this curated list.Factors to Consider When Choosing Best Single-board Computers
Choosing the right single-board computer depends on your specific project needs and budget. Understanding the core factors can help you avoid common pitfalls and select a board that offers the best value and performance for your application.Performance and Processing Power
Assess what kind of processing your projects require. For intensive tasks like AI, machine learning, or media processing, boards like the NVIDIA Jetson Orin Nano or LattePanda 3 Delta provide high-end CPU and GPU capabilities. Conversely, for simple automation or media playback, lower-power options like the Raspberry Pi 4 or Orange Pi 4 Pro may suffice. Matching performance to your workload prevents overspending and ensures smoother operation.Connectivity and Expansion Options
Consider what ports and interfaces are necessary for your setup. Dual Ethernet, Wi-Fi 6, Bluetooth, and multiple USB ports expand your device’s capabilities. Additionally, look for support for M.2 SSDs or other storage options if you need fast, reliable storage. Boards with extensive connectivity are more versatile but often come at a higher cost and complexity, so prioritize features based on your project requirements.Ease of Use and Community Support
A user-friendly OS, clear documentation, and an active community can make a significant difference in your experience. Raspberry Pi boards, for example, have extensive tutorials and forums, making them ideal for beginners. More advanced boards may require more technical knowledge and setup time. Weigh your comfort level against the complexity of the hardware when choosing a board.Build Quality and Power Requirements
Durability and efficient power consumption impact long-term use. Boards with solid construction and stable power supplies tend to last longer and perform more reliably. Consider whether your project is portable or fixed—this influences whether you need a compact, low-power board or a more robust, power-hungry option. Power supply compatibility and heat management are also critical factors to prevent overheating and ensure stability.Price and Future-Proofing
While budget is always a concern, investing slightly more in a versatile, future-proof board can save money later. Features like support for the latest connectivity standards or higher RAM capacity extend your device’s relevance. Avoid choosing a board solely based on the lowest price if it lacks essential features needed for your intended projects—this can lead to additional expenses or limitations down the line.Frequently Asked Questions
Can I run a desktop environment on these single-board computers?
Many single-board computers, including the Raspberry Pi 4 and Raspberry Pi 5, support desktop environments such as Raspberry Pi OS with a graphical user interface. However, performance varies based on hardware specs; lower-end models may struggle with resource-heavy applications. For smoother experience, especially with multitasking or media editing, opting for a more powerful board like the LattePanda 3 Delta or NVIDIA Jetson Orin Nano will be more effective. Always check compatibility with your preferred OS and desktop environment before making a choice.
Is it worth investing in a more expensive single-board computer?
Investing in a higher-priced board makes sense if your project demands advanced features, higher processing power, or longer-term scalability. Boards like the NVIDIA Jetson Orin Nano are designed for AI and machine learning, offering significantly better performance but at a higher cost. For casual or beginner projects, cheaper options like Raspberry Pi models provide great value and ease of use. Consider your project’s scope and future needs carefully before stretching your budget—sometimes, paying more upfront can reduce the need for upgrades later.
What should I prioritize if I want to build a media center?
For media center applications, look for boards with hardware decoding capabilities, HDMI outputs, and good network connectivity. The Radxa Rock 2A, with its 4K HDMI support, is a solid choice, along with Raspberry Pi 4 and Pi 5, which have proven track records for media playback. Ensure the board supports the media formats you plan to use and has enough RAM to handle multitasking. Ease of setting up media apps like Kodi or Plex is also a key factor, so community support and documentation are helpful.
Are these boards suitable for robotics projects?
Many single-board computers are well-suited for robotics, especially those with GPIO pins, multiple connectivity options, and real-time processing support. Boards like the Orange Pi 4 Pro and Raspberry Pi 4 are popular choices due to their GPIO availability and community support. For projects requiring AI or computer vision, boards like the LattePanda or NVIDIA Jetson Nano provide the necessary processing power. Always consider power supply needs, physical size, and expansion options to match your robot’s design specifications.
How do I choose a single-board computer for IoT applications?
IoT projects benefit from boards with low power consumption, reliable network connectivity, and support for sensors and peripherals. The Raspberry Pi 4 and Orange Pi 4 Pro are popular due to their Wi-Fi, Bluetooth, and GPIO options. For more specialized IoT needs, boards with built-in NPU or AI capabilities, like the Orange Pi 4 Pro, can enable edge computing and real-time data analysis. Focus on durability, power efficiency, and expandability to ensure the device can handle continuous operation in an IoT environment.
Conclusion
For most users seeking an all-around versatile option, the Raspberry Pi 5 8GB offers a compelling blend of power, community support, and affordability, making it the best overall choice. If you need high-end AI and machine learning capabilities, the NVIDIA Jetson Orin Nano is worth the investment, though it’s best suited for developers and advanced users. Budget-conscious hobbyists and small-scale projects will find excellent value in the Orange Pi 4 Pro, which adds Wi-Fi 6 and AI features at a lower price point. Beginners aiming for simplicity should consider the Raspberry Pi 4, while those with specific needs—like media or robotics—should prioritize features like HDMI output or GPIO pins accordingly.
