Choosing the best single-board computer (SBC) can be challenging given the wide array of options tailored for different needs. The LattePanda 3 Delta stands out as the overall best for its powerful Intel N5105 CPU and built-in Arduino coprocessor, making it ideal for AI and robotics projects. The Raspberry Pi 5 offers impressive performance with 8GB RAM, perfect for media and general computing, while the NVIDIA Jetson Orin Nano excels in edge AI applications. With tradeoffs between price, complexity, and performance, this roundup helps clarify which SBC fits your specific project or budget. Continue reading for a detailed comparison of these versatile options.
Key Takeaways
- The top picks balance processing power, connectivity, and expandability, with the LattePanda 3 Delta leading in versatility for AI and robotics.
- Price differences are significant; the Raspberry Pi 3B+ remains a budget-friendly choice, but newer models like the Pi 5 deliver much more performance for a higher cost.
- Connectors and expansion options vary widely, making some SBCs better suited for embedded projects while others target media or AI workloads.
- Build quality and community support are critical; Raspberry Pi models benefit from extensive user bases, while niche boards might lack extensive documentation.
- Tradeoffs often involve complexity versus power; more capable SBCs tend to have steeper learning curves but open up more project possibilities.
| LattePanda 3 Delta x86 Single Board Computer | Intel N5105 Quad-Core Windows 10/11 SBC | Built-in Arduino Coprocessor | 8GB RAM 64GB eMMC | Wi-Fi 6, 2.5GbE, Dual M.2 | For IoT, Robotics & Edge AI |  | Best Overall for Versatile Edge Computing | Processor: Intel N5105 Quad-Core | RAM: 8GB DDR4 | Storage: 64GB eMMC | VIEW LATEST PRICE | See Our Full Breakdown |
| Radxa Rock 2A Single Board Computer, RK3528A Quad-Core CPU, GPU, 4K HDMI and Gigabit Ethernet (RS113-D4T0) |  | Best for Media & Embedded Applications | Processor: RK3528A Quad-Core | GPU: Integrated GPU supporting 4K | Memory: 4GB RAM | VIEW LATEST PRICE | See Our Full Breakdown |
| Cubie A5E, 8-core CPU, Dual Gigabit Ethernet Ports, Supporting M.2 2230 NVMe SSD, Single Board Computer |  | Best for Industrial & Networking Applications | Processor: Allwinner A527/T527 8-core | NPU: 2 TOPs | Ethernet: Dual Gigabit ports | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 3 Model B+ Board (3B+) Raspberry PI 3B+ (1GB) (3B Plus) | | Best for Budget-Friendly Versatile Projects | Processor: 1.4GHz Quad-Core ARM | RAM: 1GB LPDDR3 | Connectivity: Wi-Fi 802.11ac, Gigabit Ethernet | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 5 8GB |  | Best for High-Performance, Future-Ready Projects | Processor: ARM Cortex-A76 @ 2.4GHz | Memory: 8GB LPDDR4X | Display Output: 4K HDMI | VIEW LATEST PRICE | See Our Full Breakdown |
| NVIDIA Jetson Orin Nano Super Developer Kit |  | Best for AI Development and Edge AI Prototyping | AI Performance: Up to 67 TOPS | CPU: 6-core ARM Cortex-A78AE | GPU: Ampere GPU | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 4 Computer Model B 8GB Single Board Computer |  | Best for Versatile, Cost-Effective Computing | CPU: 1.8GHz Quad-core ARM Cortex-A72 | Memory: 8 GB LPDDR4 | Video Output: Dual 4K HDMI | VIEW LATEST PRICE | See Our Full Breakdown |
| Orange Pi 4 Pro 4GB Single Board Computer with AI NPU and Wi-Fi 6 |  | Best for Industrial and AI-Embedded Applications | CPU: 2x Cortex-A76 + 6x Cortex-A55 @ 2.0GHz | NPU: 3 TOPS (INT8) | Memory: 4 GB LPDDR5 | VIEW LATEST PRICE | See Our Full Breakdown |
More Details on Our Top Picks
LattePanda 3 Delta x86 Single Board Computer | Intel N5105 Quad-Core Windows 10/11 SBC | Built-in Arduino Coprocessor | 8GB RAM 64GB eMMC | Wi-Fi 6, 2.5GbE, Dual M.2 | For IoT, Robotics & Edge AI
This LattePanda 3 Delta stands out for its powerful x86 architecture, enabling native Windows 10/11 and Linux support—an advantage over ARM-based boards like the Raspberry Pi 5. Its inclusion of a built-in Arduino Leonardo coprocessor simplifies hardware integration, making it ideal for robotics and IoT projects that require both high-level software and physical control. The dual M.2 slots for NVMe and 5G modules, combined with Wi-Fi 6 and 2.5GbE, provide unmatched expansion and network capabilities. Compared to the Raspberry Pi 3B+, it offers significantly more processing power and connectivity options but at a higher price and power consumption. This pick is perfect for developers needing a compact yet full-featured edge device, though it may be overkill for simple projects.
Pros:- Native Windows 10/11 and Linux support for broad software compatibility
- Built-in Arduino coprocessor simplifies hardware interfacing
- Dual M.2 slots for NVMe SSDs and cellular modules
- Wi-Fi 6 and 2.5GbE for fast, reliable networking
Cons:- Higher power consumption and cost compared to ARM-based boards
- Larger physical size limits ultra-compact deployments
- Requires a more robust power supply
Best for: Hardware developers building robotics, industrial IoT gateways, or edge AI solutions requiring Windows/Linux compatibility and extensive expansion options
Not ideal for: Budget-conscious hobbyists or projects that only need basic Linux support, as its power requirements and cost are higher
- Processor:Intel N5105 Quad-Core
- RAM:8GB DDR4
- Storage:64GB eMMC
- Connectivity:Wi-Fi 6, 2.5GbE Ethernet
- Expansion:Dual M.2 slots for NVMe & cellular modules
- Display Support:Triple display via HDMI, Type-C, eDP
- Operating System:Windows 10/11, Linux
- Form Factor:Compact industrial-grade
Bottom line: Ideal for professionals and advanced hobbyists needing full OS support and extensive hardware expansion for edge AI and robotics.
Radxa Rock 2A Single Board Computer, RK3528A Quad-Core CPU, GPU, 4K HDMI and Gigabit Ethernet (RS113-D4T0)
The Radxa Rock 2A offers a balanced combination of processing power and multimedia support, with a quad-core ARM Cortex A5 CPU and integrated GPU capable of 4K HDMI output—making it a strong competitor to the Raspberry Pi 4 for media centers or embedded projects. Its Gigabit Ethernet with PoE support adds flexible wired connectivity, ideal for networked applications. While it excels in multimedia and basic computing, it lacks the extensive expansion options of the LattePanda, limiting its use in complex robotics or industrial scenarios. Compared to the Raspberry Pi 3 with 1GB RAM, the Rock 2A provides a more modern GPU and Ethernet support, but with less overall processing power and community support. This board suits media applications and lightweight embedded systems, though not heavy-duty robotics.
Pros:- Supports 4K HDMI output with hardware GPU acceleration
- Gigabit Ethernet with PoE for flexible networking
- Broad ecosystem compatibility with RP5 standards
- Multiple USB ports for peripherals
Cons:- Limited processing power for intensive tasks
- No onboard Wi-Fi or Bluetooth for wireless connectivity
- Less software support compared to Raspberry Pi
Best for: Media center builders, digital signage, and lightweight embedded projects needing 4K output and reliable network connectivity
Not ideal for: Robotics or high-performance edge AI projects that demand more CPU and extensive I/O options
- Processor:RK3528A Quad-Core
- GPU:Integrated GPU supporting 4K
- Memory:4GB RAM
- Video Output:4K HDMI
- Networking:Gigabit Ethernet with PoE
- Connectivity:USB ports
- Compatibility:RP5 ecosystem
- Operating System:Linux-based
Bottom line: Best suited for multimedia applications and basic embedded systems where 4K output and reliable wired networking are priorities.
Cubie A5E, 8-core CPU, Dual Gigabit Ethernet Ports, Supporting M.2 2230 NVMe SSD, Single Board Computer
The Cubie A5E stands out for its industrial-grade 8-core CPU and dual Gigabit Ethernet ports, making it a top choice for demanding networked and industrial systems. Its support for high-speed M.2 2230 NVMe SSDs enables fast local storage, ideal for edge computing with intensive data processing. The inclusion of an NPU (T527 model) with 2 TOPs provides computational acceleration for AI workloads, though its community support and software ecosystem are less mature than more popular boards like the Raspberry Pi. Compared with the LattePanda, it offers superior networking and storage expansion but less general-purpose computing power. This board is best for industrial automation, high-speed networking, or edge AI tasks where reliability and throughput matter most, but it’s less suited for small-scale hobbyist projects.
Pros:- Dual Gigabit Ethernet ports with industrial reliability
- Supports high-speed NVMe SSD via M.2 2230 slot
- 8-core CPU with high computational capacity
- AI NPU with 2 TOPs for acceleration
Cons:- Limited software ecosystem and community support
- Relatively higher complexity for hobbyist use
- Larger form factor may limit ultra-compact deployments
Best for: Industrial automation, high-speed networking, and edge AI applications requiring robust Ethernet and NVMe storage
Not ideal for: General-purpose desktop or multimedia projects where user-friendly software support is essential
- Processor:Allwinner A527/T527 8-core
- NPU:2 TOPs
- Ethernet:Dual Gigabit ports
- Storage:M.2 2230 NVMe
- Connectivity:Wi-Fi 6, Ethernet
- Form Factor:Industrial
Bottom line: Perfect for industrial, networking, and edge AI environments where robust connectivity and storage are critical, but less suitable for casual or hobbyist use.
Raspberry Pi 3 Model B+ Board (3B+) Raspberry PI 3B+ (1GB) (3B Plus)
The Raspberry Pi 3B+ remains a favorite for its balance of affordability, community support, and versatility, with a 1.4GHz quad-core processor suitable for a wide range of projects, from media centers to basic robotics. Its built-in Wi-Fi (dual-band 2.4/5GHz) and Ethernet provide reliable networking, though it falls short of the LattePanda in raw processing power and expansion options. Compared to the Radxa Rock 2A, it offers a more extensive ecosystem and easier software support but less hardware acceleration and multimedia capability. This board is the go-to choice for newcomers and small-scale hobbyists, but it may struggle with demanding AI or industrial tasks. It’s a solid entry-level option that balances cost with decent performance.
Pros:- Affordable and widely supported by the community
- Dual-band Wi-Fi and Gigabit Ethernet for reliable networking
- Decent CPU performance for everyday tasks
- Large ecosystem of accessories and tutorials
Cons:- Limited processing power for AI or heavy computations
- Only 1GB RAM limits multitasking and heavy applications
- No onboard NVMe or advanced expansion options
Best for: Hobbyists, educators, and beginners seeking a cost-effective platform for learning, media, and simple automation
Not ideal for: High-performance robotics or edge AI projects that require extensive processing and expansion capabilities
- Processor:1.4GHz Quad-Core ARM
- RAM:1GB LPDDR3
- Connectivity:Wi-Fi 802.11ac, Gigabit Ethernet
- USB Ports:4
- Operating System:Raspberry Pi OS
- Form Factor:Small SBC
Bottom line: Best for beginners and small projects where cost and community support outweigh raw performance needs.
Raspberry Pi 5 8GB
The Raspberry Pi 5 8GB elevates the platform with a 2.4GHz quad-core ARM processor and 8GB RAM, making it suitable for more demanding applications like media servers, desktop replacements, or AI experiments. Its support for 4K displays via HDMI and new LPDDR4X memory technology offers a noticeable performance boost over earlier Pi models. While it maintains the affordability and extensive software ecosystem of the Pi line, it lacks onboard NVMe storage support, limiting local storage options without external drives. Compared to the LattePanda, it provides a more open, community-driven environment but doesn’t support Windows natively, which could be a disadvantage for certain enterprise or development scenarios. This board makes the most sense for users needing high RAM and GPU capabilities for future-proof projects, although it doesn’t match the raw CPU flexibility of x86 boards.
Pros:- Powerful 2.4GHz quad-core ARM CPU with 8GB RAM
- Supports 4K display output with HDMI
- Enhanced memory technology (LPDDR4X)
- Community and software ecosystem mature and extensive
Cons:- No onboard NVMe storage support
- Higher power consumption than Pi 4 or ARM boards
- Limited native Windows compatibility
Best for: Advanced hobbyists and developers aiming for a versatile, high-performance platform for multimedia, AI, or desktop-like applications
Not ideal for: Projects requiring native Windows support or extensive expansion for industrial use
- Processor:ARM Cortex-A76 @ 2.4GHz
- Memory:8GB LPDDR4X
- Display Output:4K HDMI
- Connectivity:Wi-Fi 802.11ac, Bluetooth
- USB Ports:4
- Operating System:Raspberry Pi OS
- Form Factor:Compact SBC
Bottom line: Best for high-performance multimedia, AI, and future-proof development with a strong community backing.
NVIDIA Jetson Orin Nano Super Developer Kit
The NVIDIA Jetson Orin Nano Super Developer Kit stands out for delivering up to 67 TOPS of AI performance, making it ideal for complex AI applications like robotics and vision systems. Compared to the Raspberry Pi 4, which excels in general-purpose computing, the Orin Nano provides vastly superior AI inference capabilities, though at a higher price point and with a steeper learning curve. Its extensive ecosystem, including NVIDIA’s DeepStream and Isaac frameworks, enables rapid development of AI-powered prototypes. The compact design with multiple camera interfaces makes it perfect for autonomous machines, but its specialized hardware isn’t suited for simple projects or low-power applications. This pick makes the most sense for developers aiming to prototype advanced edge AI solutions that require high throughput and AI flexibility, accepting the tradeoff of complexity and cost.
Pros:- Up to 67 TOPS of AI inference performance, supporting complex models.
- Rich set of connectors, including MIPI CSI for high-res cameras.
- Supports NVIDIA’s comprehensive AI software ecosystem for rapid development.
- Compact form factor suitable for embedded systems.
Cons:- High cost compared to general-purpose SBCs like Raspberry Pi.
- Requires familiarity with NVIDIA’s software stack and AI frameworks.
- Limited general-purpose computing performance outside AI tasks.
Best for: AI developers and robotics startups needing high-performance edge AI hardware.
Not ideal for: Hobbyists or small-scale projects that don’t require intensive AI inference, due to its cost and complexity.
- AI Performance:Up to 67 TOPS
- CPU:6-core ARM Cortex-A78AE
- GPU:Ampere GPU
- Memory:8 GB LPDDR4X
- Connectors:Multiple MIPI CSI, USB, Ethernet
- Form Factor:Compact Developer Kit
Bottom line: This device is best for AI professionals and advanced robotics projects where maximum inference power is essential despite higher complexity.
Raspberry Pi 4 Computer Model B 8GB Single Board Computer
The Raspberry Pi 4 Model B 8GB offers a powerful ARM Cortex-A72 CPU at 1.8GHz, making it suitable for a wide range of applications from media centers to DIY computers. Unlike the Orange Pi 4 Pro, which supports AI and industrial applications, the Pi 4 excels in general-purpose tasks and community support, though it lacks onboard AI acceleration. Its dual 4K HDMI outputs and USB 3.0 ports provide solid multimedia and I/O performance, but its onboard storage options are limited to microSD and optional eMMC modules, which can be less convenient than integrated storage solutions. This board makes the most sense for hobbyists, educators, and small-scale developers seeking a reliable, well-supported platform for diverse projects, accepting some limitations in raw AI or industrial performance.
Pros:- Powerful 1.8GHz quad-core Cortex-A72 CPU for versatile computing.
- Supports dual 4K display output and 4K video playback.
- Excellent community, documentation, and software support.
- Affordable price point for high-performance SBC.
Cons:- Limited onboard storage and slower microSD-based storage.
- No dedicated AI hardware acceleration.
- Power consumption higher than some smaller SBCs.
Best for: Hobbyists, educators, and small-scale developers needing a flexible, affordable SBC.
Not ideal for: Industrial or AI-intensive applications that demand dedicated hardware acceleration or extensive I/O expansion.
- CPU:1.8GHz Quad-core ARM Cortex-A72
- Memory:8 GB LPDDR4
- Video Output:Dual 4K HDMI
- Connectivity:Gigabit Ethernet, USB 3.0
- Storage:microSD, optional eMMC
- Form Factor:Credit card size
Bottom line: This board is ideal for users needing a reliable, high-performance all-round computer for media, education, and hobbyist projects, despite limited AI capabilities.
Orange Pi 4 Pro 4GB Single Board Computer with AI NPU and Wi-Fi 6
The Orange Pi 4 Pro features a robust octa-core Allwinner A733 processor and a dedicated 3 TOPS NPU, making it suited for AI inference, robotics, and industrial deployments. Compared to the Raspberry Pi 4, which relies on CPU-based processing, the Orange Pi’s built-in AI NPU delivers better performance for AI tasks without extensive hardware upgrades. Its support for Wi-Fi 6 and PoE simplifies deployment in networked environments, but its open-source ecosystem is less mature, and onboard storage options are limited, requiring external eMMC or NVMe modules. The compact size and versatile I/O make it appealing for embedded AI projects, but the learning curve and less polished software ecosystem are drawbacks. This pick makes sense for those developing AI or industrial solutions who need integrated AI acceleration and flexible connectivity, willing to handle a smaller community and steeper setup process.
Pros:- High-performance octa-core CPU with 2.0GHz clock speed.
- Integrated AI NPU with 3 TOPS for efficient AI inference.
- Supports Wi-Fi 6 and PoE for flexible network deployments.
- Multiple I/O options including HDMI 2.0, USB, and M.2 NVMe.
Cons:- Limited onboard storage, requiring external modules.
- Less mature software ecosystem compared to Raspberry Pi.
- Smaller community support for troubleshooting.
Best for: Industrial automation, AI inference, and robotics developers requiring robust connectivity and onboard AI acceleration.
Not ideal for: Hobbyists or small projects without industrial or AI needs, due to its complexity and learning curve.
- CPU:2x Cortex-A76 + 6x Cortex-A55 @ 2.0GHz
- NPU:3 TOPS (INT8)
- Memory:4 GB LPDDR5
- Connectivity:Wi-Fi 6, Bluetooth 5.4, Gigabit Ethernet
- Graphics:Imagination BXM-4-64
- Form Factor:Compact PCB
Bottom line: This SBC is best suited for industrial and AI applications where onboard AI acceleration, robust connectivity, and compact size are priorities, accepting the tradeoff of a steeper learning curve.
How We Picked
Our evaluation focused on performance, connectivity, expandability, and value. We prioritized SBCs that offer a balance of modern features and user-friendly design, ensuring they cater to hobbyists and professionals alike. Devices were ranked based on processing capability, versatility for different projects, build quality, and software support. We also considered price points to identify options that provide the best bang for the buck. By comparing these factors across a broad spectrum of devices, we aimed to highlight options suitable for a wide range of use cases, from simple DIY projects to complex AI deployments.
Factors to Consider When Choosing Best Single-board Computers
When choosing a single-board computer, understanding key factors can help ensure you pick the right model for your needs. Consider the intended use, required performance level, connectivity options, and expandability. Budget constraints and ease of use also play significant roles in decision-making. Recognizing common pitfalls, such as overestimating processing needs or neglecting software support, can prevent costly mistakes. A thoughtful approach to these considerations results in a more satisfying and functional SBC choice.Performance and Processing Power
Assess what kind of workloads you’ll run on your SBC. For basic projects like media playback or simple automation, lower-powered models like the Raspberry Pi 3B+ may suffice. However, for AI, robotics, or intensive computing, look for devices with more powerful CPUs and GPUs, such as the LattePanda 3 Delta or NVIDIA Jetson Nano. Overestimating your needs can lead to unnecessary costs, while underestimating may hinder your project’s growth. Balance your performance expectations with your budget for the best long-term value.
Connectivity and Expansion
Check the available ports, wireless options, and expansion slots. USB, HDMI, Ethernet, and GPIO pins determine how easily you can connect peripherals and sensors. Boards like the Cubie A5E or Orange Pi 4 Pro include multiple Ethernet ports and NVMe support, ideal for networking-heavy or storage-intensive projects. Conversely, some SBCs may lack certain ports, requiring additional adapters. Think about future upgrades and whether onboard features suffice, or if you’ll need to add external components.
Software Support and Community
Robust software ecosystems and active communities can significantly ease development. Raspberry Pi models benefit from years of support, extensive tutorials, and a large user base. Niche boards like the Radxa Rock 2A or LattePanda may offer cutting-edge features but might lack extensive documentation. Consider the availability of OS options, driver support, and community forums. These factors influence how quickly you can troubleshoot issues and find project inspiration, especially for complex applications.
Price and Value
Balance your budget against the features offered. Budget options like the Raspberry Pi 3B+ provide excellent value for basic needs, but may fall short on performance for advanced projects. Mid-range choices like the Raspberry Pi 5 or Orange Pi 4 Pro strike a good balance, offering more power without excessive cost. Premium models like the LattePanda or NVIDIA Jetson are suited for demanding tasks and professional deployments, but come with higher prices. Clarify your project scope to avoid overspending or settling for underpowered devices.
Ease of Use and Setup
Ease of setup and user-friendliness vary among SBCs. Raspberry Pi’s standardized OS and large community make it accessible for beginners. More advanced boards with Windows or specialized Linux distributions may require additional configuration, which can be a hurdle for newcomers. Consider your technical skills and willingness to troubleshoot. A straightforward setup can save time and frustration, especially if you’re new to SBCs or embedded systems.
Frequently Asked Questions
Can I run Windows on these single-board computers?
Many SBCs, like the LattePanda 3 Delta, support Windows 10/11, making them suitable for users familiar with Windows environments. Others, such as Raspberry Pi models, primarily run Linux distributions, although Windows IoT or specialized versions are available. Compatibility depends on the hardware architecture and available drivers. If Windows compatibility is essential, prioritize SBCs explicitly supporting Windows to avoid compatibility issues and complex setup processes.
Which SBC is best for AI and machine learning projects?
For AI and ML tasks, boards with integrated GPUs or NPU accelerators are preferable. The NVIDIA Jetson Orin Nano excels in this area due to its dedicated AI hardware, offering better performance for real-time inference. The Orange Pi 4 Pro with its AI NPU is another strong candidate for embedded AI applications. Keep in mind that such boards tend to be more expensive and may require more advanced setup, but they deliver the processing power needed for demanding AI workloads.
How important is community support when choosing an SBC?
Community support plays a vital role in troubleshooting, tutorials, and project ideas. SBCs like the Raspberry Pi benefit from decades of user contributions, extensive documentation, and forums, making them safer bets for beginners. Less popular or niche boards might lack this level of support, leading to longer development times and potential frustration. For complex or long-term projects, choosing an SBC with a strong support network can save considerable time and effort.
Is it worth investing in a more expensive SBC?
Higher-priced SBCs often offer better performance, more features, and longer software support, which can be worthwhile if your project demands it. For instance, an AI deployment or a mini PC setup justifies the investment in a LattePanda or NVIDIA Jetson. On the other hand, for simple automation or learning purposes, budget options like the Raspberry Pi 3B+ provide excellent value. Carefully assess your project’s scope and future needs before opting for the more costly models.
What should I consider if I want to build a media center?
For media center projects, look for SBCs with HDMI output, sufficient RAM, and good media decoding capabilities. The Raspberry Pi 4 or Raspberry Pi 5 are popular choices due to their robust GPU support and community-tested software like Kodi. Consider the available storage options and network connectivity, especially if streaming or local media playback is involved. Ease of setup and software compatibility are key factors to ensure a smooth media experience.
Conclusion
For general use and beginners, the Raspberry Pi 4 or Raspberry Pi 3B+ remain the best options due to their simplicity, community support, and affordability. The Raspberry Pi 5 is ideal for those needing more power without a steep learning curve. For AI and robotics professionals, the NVIDIA Jetson Orin Nano or LattePanda 3 Delta provide unmatched processing capabilities, though at a higher cost. Budget-conscious hobbyists can confidently choose the Orange Pi 4 Pro or Radxa Rock 2A for versatile projects without breaking the bank. Ultimately, selecting the right SBC depends on your technical skills, project complexity, and budget constraints.
