Choosing the best single-board computer (SBC) depends on your specific needs, whether it’s AI processing, IoT projects, or general computing. The Raspberry Pi 5 8GB stands out as the best overall for versatility and community support. For AI and edge computing, the Orange Pi 4 Pro offers powerful features like Wi-Fi 6 and an AI NPU. Meanwhile, the NVIDIA Jetson Orin Nano excels in high-performance AI workloads. As you consider your options, keep in mind tradeoffs around processing power, connectivity, and ease of use. Continue reading for the full breakdown of these top SBCs, their strengths, and their limitations.
Key Takeaways
- Performance varies significantly, with high-end options like the NVIDIA Jetson Orin Nano and LattePanda suited for intensive AI and robotics tasks.
- Connectivity features such as Wi-Fi 6, 2.5GbE, and M.2 slots are common in premium models, supporting faster data transfer and expansion.
- The Raspberry Pi 5 leads in community support and software ecosystem, making it ideal for beginners and general use cases.
- Tradeoffs between price, performance, and versatility are evident; higher specs often come with increased complexity and cost.
- Design choices like integrated AI NPUs or Arduino coprocessors cater to niche applications but may limit versatility for general computing.
| 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 | Memory: 4GB LPDDR5 | VIEW LATEST PRICE | See Our Full Breakdown |
| 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 |  | Best for Windows/Linux Desktop and Robotics Integration | Processor: Intel N5105 Quad-Core | Memory: 8GB RAM | Storage: 64GB eMMC | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 5 8GB |  | Best for Desktop and Media Projects | Processor: ARM Cortex-A76 | Memory: 8GB RAM | Storage: No onboard storage, requires SD card | VIEW LATEST PRICE | See Our Full Breakdown |
| New Raspberry Pi 3 Model B+ Board (3B+) Raspberry PI 3B+ (1GB) |  | Best Budget SBC for Basic Projects | Processor: Broadcom Cortex-A53 | Memory: 1GB RAM | Connectivity: Wi-Fi, Bluetooth, Ethernet | VIEW LATEST PRICE | See Our Full Breakdown |
| Raspberry Pi 4 Computer Model B 8GB |  | Best for High-Performance Media and General Computing | Processor: Broadcom Cortex-A72 | Memory: 8GB RAM | Video Output: Dual 4K HDMI | 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 Value for High Performance and Connectivity | Processor: Allwinner A527/T527 8-core | Memory: 1 GB | Storage Capacity: Supports NVMe SSD | VIEW LATEST PRICE | See Our Full Breakdown |
| NVIDIA Jetson Orin Nano Super Developer Kit |  | Best for AI-Driven Edge Applications and Robotics | AI Performance: Up to 67 TOPS | Memory: 8 GB LPDDR4X | Processor: 6-core ARM Cortex-A78AE | 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 and General Embedded Projects | Processor: RK3528A quad-core | Memory: 4 GB LPDDR4 | Storage: eMMC and SD card support | VIEW LATEST PRICE | See Our Full Breakdown |
More Details on Our Top Picks
Orange Pi 4 Pro 4GB Single Board Computer with AI NPU and Wi-Fi 6
This model stands out for its high-performance octa-core Allwinner A733 processor, which delivers strong computational power suitable for AI inference and robotics, especially with its 3 TOPS NPU supporting mixed precision. Compared to the Raspberry Pi 5, it offers dedicated AI hardware, but its onboard storage options are more limited, requiring additional modules. Its support for multiple OS—Android, Linux, OpenHarmony—broadens its use cases, though the smaller PCB size constrains expansion flexibility. Support for Wi-Fi 6 and PoE simplifies deployment in industrial or robotic environments, making it a top choice for embedded AI projects. However, the learning curve for open-source development and the need for optional storage modules are notable tradeoffs.
Pros:- Octa-core CPU with dedicated AI acceleration (3 TOPS NPU)
- Supports multiple OS including Android and OpenHarmony
- PoE and Gigabit Ethernet for flexible industrial deployment
Cons:- Limited onboard storage without additional modules
- Smaller PCB size restricts expansion options
- Complex open-source setup and learning curve
Best for: Engineers designing AI-powered robotics or industrial automation systems needing robust connectivity and hardware acceleration.
Not ideal for: Home media enthusiasts or general-purpose users who require extensive onboard storage and simple setup.
- SoC:Allwinner A733
- CPU:2x Cortex-A76 + 6x Cortex-A55 @ 2.0GHz
- Memory:4GB LPDDR5
- Storage:eMMC (16GB-128GB), M.2 NVMe, microSD
- Connectivity:Wi-Fi 6 + Bluetooth 5.4, Gigabit Ethernet with PoE
- Display:HDMI 2.0 (4K@60Hz), MIPI DSI/CSI
- Ports:1x USB 3.0, 3x USB 2.0
- Weight:58g
Bottom line: Ideal for developers focused on AI inference and industrial solutions, but less suited for casual or storage-heavy applications.
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
This pick makes the most sense for users needing a full x86 environment capable of running Windows 10/11 natively, with robust hardware support like dual M.2 slots and 8GB RAM, comparable to the Raspberry Pi 5 but with the advantage of x86 compatibility. Unlike the Raspberry Pi 4, which excels as a media or DIY PC, the LattePanda 3 Delta is better suited for robotics, industrial control, and edge server tasks that benefit from familiar Windows/Linux environments. Its onboard Arduino Leonardo-compatible coprocessor bridges high-level software with physical hardware, streamlining robotics projects. The dual M.2 slots allow for extensive storage and cellular expansion, surpassing the limited storage options of some ARM boards, but its size and power requirements are higher. Its support for high-speed Wi-Fi 6 and 2.5GbE Ethernet ensures reliable, fast network connectivity.
Pros:- Runs Windows 10/11 and Linux natively
- Dual M.2 slots for NVMe SSDs and cellular modules
- Built-in Arduino coprocessor for hardware control
Cons:- Larger physical footprint than Raspberry Pi models
- Higher power consumption
- More complex setup for non-Windows users
Best for: Embedded developers building robotics, industrial automation, or edge computing solutions with a need for Windows/Linux compatibility.
Not ideal for: Casual hobbyists or media-focused users who do not need Windows support or high expandability.
- Processor:Intel N5105 Quad-Core
- Memory:8GB RAM
- Storage:64GB eMMC
- Connectivity:Wi-Fi 6, 2.5GbE Ethernet
- Expansion:Dual M.2 slots
- Display support:Triple display (HDMI, Type-C, eDP)
Bottom line: Best for professional applications requiring desktop-grade OS support and hardware expandability, less so for simple DIY projects.
Raspberry Pi 5 8GB
This model earns its place as the go-to SBC for general-purpose computing, media centers, and DIY projects, thanks to its 8GB RAM, latest ARM Cortex-A76 architecture, and support for dual 4K displays via HDMI. Compared to the Raspberry Pi 4, the Pi 5 offers faster processing at 2.4 GHz, improved GPU support, and increased network speed with Gigabit Ethernet. Its native support for Raspberry Pi OS and broad compatibility with peripherals make it a solid choice for both beginners and experienced hobbyists. However, it lacks built-in industrial I/O or AI-specific hardware, which makes it less ideal for robotics or industrial automation than other options like the Orange Pi 4 Pro. Yet, its straightforward setup and extensive community support offset these limitations, making it a versatile, reliable platform.
Pros:- Powerful 8GB RAM with ARM Cortex-A76 core
- Supports dual 4K HDMI output
- Gigabit Ethernet and Bluetooth 5.0 for fast connectivity
Cons:- No dedicated AI or industrial I/O hardware
- Larger size compared to some SBCs
- Limited expansion options without additional HATs or accessories
Best for: Home users, media enthusiasts, and developers seeking high-performance desktop and multimedia capabilities.
Not ideal for: Industrial automation or AI inference tasks that require dedicated hardware acceleration.
- Processor:ARM Cortex-A76
- Memory:8GB RAM
- Storage:No onboard storage, requires SD card
- Display:Dual 4K HDMI
- Connectivity:Gigabit Ethernet, Bluetooth 5.0
- Operating System:Raspberry Pi OS
Bottom line: Excellent for media, desktop, and DIY projects, but less suited for industrial or AI-focused applications.
New Raspberry Pi 3 Model B+ Board (3B+) Raspberry PI 3B+ (1GB)
This pick remains popular for its affordability and simplicity, with a 1.4 GHz quad-core processor and built-in Wi-Fi and Bluetooth, making it suitable for basic IoT, learning, and hobbyist projects. While it doesn’t match the processing power or connectivity speeds of the Raspberry Pi 4 or Pi 5, its lower cost makes it accessible for beginners or education environments. Compared to more advanced models like the Orange Pi 4 Pro, it offers less hardware acceleration and fewer expansion options, but its extensive community support and ease of use make it a practical starting point. The 1GB RAM limits multitasking and demanding applications, which is a significant tradeoff for those wanting a more capable SBC.
Pros:- Affordable price point
- Built-in Wi-Fi and Bluetooth
- Large community support for troubleshooting and tutorials
Cons:- Limited processing power for demanding tasks
- Only 1GB RAM
- Fewer expansion options compared to newer models
Best for: Beginners, educators, and hobbyists with limited budgets for simple IoT or learning projects.
Not ideal for: Advanced robotics, media production, or industrial automation due to limited RAM and connectivity.
- Processor:Broadcom Cortex-A53
- Memory:1GB RAM
- Connectivity:Wi-Fi, Bluetooth, Ethernet
- Power:Power over Ethernet (PoE) support
- Size:6″ x 3″ x 8″
- Operating System:Various Linux distributions
Bottom line: Great for entry-level projects and learning, but not suited for intensive or industrial applications.
Raspberry Pi 4 Computer Model B 8GB
This model is ideal for users seeking a versatile SBC capable of replacing a desktop PC or building media centers, thanks to its 8GB RAM and 1.8 GHz Broadcom processor. It features dual micro HDMI ports supporting 4K output at 60Hz, and Gigabit Ethernet, making it suitable for media streaming, light workstation tasks, and learning. Compared to the Raspberry Pi 5, it offers great value with mature community support and a wide array of accessories, though it lacks the latest CPU architecture and higher network speeds. Its GPIO pins and USB 3.0 ports support a variety of peripherals, but it doesn’t include AI hardware acceleration or industrial I/O, which limits its use in robotics or industrial settings. Still, for media and general computing, it remains a reliable choice.
Pros:- 8GB RAM and 1.8 GHz processor
- Supports dual 4K HDMI output
- Gigabit Ethernet and USB 3.0 ports
Cons:- No dedicated AI hardware acceleration
- Lacks the latest CPU architecture of Pi 5
- Limited expansion for industrial I/O
Best for: Media centers, lightweight desktops, and DIY projects requiring high compatibility and community support.
Not ideal for: AI inference or industrial automation projects that benefit from hardware acceleration.
- Processor:Broadcom Cortex-A72
- Memory:8GB RAM
- Video Output:Dual 4K HDMI
- Network:Gigabit Ethernet
- Ports:2x micro HDMI, USB 3.0
- Operating System:Raspberry Pi OS
Bottom line: Excellent for multimedia and general computing, with a mature ecosystem, but not for AI or industrial use cases.
Cubie A5E, 8-core CPU, Dual Gigabit Ethernet Ports, Supporting M.2 2230 NVMe SSD, Single Board Computer
This model stands out for its industrial-grade Allwinner A527/T527 8-core CPU and dual 1000Mbps Ethernet ports, making it ideal for demanding networked applications. Its support for M.2 2230 NVMe SSDs offers fast storage expansion, which surpasses the capabilities of more basic boards like the Raspberry Pi 4. Compared with NVIDIA Jetson Orin Nano, it provides a more accessible price point while still delivering robust processing power, but it lacks dedicated AI acceleration. Its dual Gigabit Ethernet ports and Wi-Fi 6 connectivity ensure top-tier network performance, making it suitable for edge computing tasks needing reliable, high-speed networking. However, its processor, while powerful, does not include an integrated GPU or AI hardware, which could limit performance in AI-heavy workloads. Its compact design and versatile I/O options make it a flexible choice for industrial or network-centric projects.
Pros:- Powerful 8-core industrial-grade CPU
- Dual Gigabit Ethernet ports with Wi-Fi 6
- Supports high-speed NVMe SSD expansion
- Compact and versatile design
Cons:- No dedicated AI hardware or GPU acceleration
- Limited software ecosystem compared to Raspberry Pi or NVIDIA Jetson
Best for: Developers seeking high network throughput and storage flexibility for demanding embedded systems.
Not ideal for: Hobbyists focused on AI projects requiring dedicated GPU hardware, like those found in NVIDIA Jetson kits.
- Processor:Allwinner A527/T527 8-core
- Memory:1 GB
- Storage Capacity:Supports NVMe SSD
- Connectivity Technology:Dual Gigabit Ethernet, Wi-Fi 6
- Form Factor:Compact single board
- I/O Options:Multiple I/O including M.2 NVMe
- Dimensions:3.5″ x 3.5″ x 0.5″
- Processor Brand:Allwinner
Bottom line: This pick makes the most sense for network-intensive applications where connectivity and storage are priority over AI acceleration.
NVIDIA Jetson Orin Nano Super Developer Kit
This kit makes a compelling case for AI projects with its up to 67 TOPS of AI performance powered by the Ampere GPU and 6-core ARM CPU, significantly surpassing the Raspberry Pi 5 in AI inference capabilities. It supports advanced AI models including transformers and robotics frameworks, which the Raspberry Pi 4 or Rock 2A cannot handle efficiently. Compared to the Cubie A5E, it offers dedicated GPU hardware and NVIDIA’s extensive AI software ecosystem, including DeepStream and Isaac, but at a higher price and complexity. The powerful AI hardware combined with multiple camera interfaces makes it ideal for robotics, computer vision, and AI prototyping. Its main tradeoff is that it’s less suited for simple tasks or projects that don’t require AI acceleration, making it overkill for basic media or IoT functions. Its ecosystem and support make it the go-to choice for AI innovators at the edge.
Pros:- Up to 67 TOPS AI performance
- Supports all modern AI models including transformers
- Multiple high-speed camera interfaces
- Extensive NVIDIA AI software ecosystem
Cons:- Higher cost and complexity compared to general-purpose SBCs
- Less suitable for non-AI projects or simple applications
- Requires more power and cooling
Best for: Developers and researchers building AI-powered robots, drones, or vision systems requiring high inference performance.
Not ideal for: Hobbyists looking for inexpensive, straightforward single-board solutions for basic computing or media playback.
- AI Performance:Up to 67 TOPS
- Memory:8 GB LPDDR4X
- Processor:6-core ARM Cortex-A78AE
- Connectivity:Multiple camera interfaces, USB, Ethernet
- Form Factor:Compact developer kit
- Operating System:Linux
- Dimensions:6″ L x 3″ W x 8″ H
- Warranty:1 year
Bottom line: This device is suited for those focused on deploying advanced AI models at the edge, especially in robotics or vision AI.
Radxa Rock 2A Single Board Computer, RK3528A Quad-Core CPU, GPU, 4K HDMI and Gigabit Ethernet (RS113-D4T0)
This board excels in multimedia and general embedded applications, thanks to its RK3528A quad-core CPU and integrated GPU capable of handling 4K HDMI output. It offers a balanced mix of features similar to the Rock 2A but at a more affordable price, making it ideal for media centers, IoT, and educational projects. Compared to the Cubie A5E, it provides dedicated multimedia output but without the extensive network options like dual Ethernet ports or Wi-Fi 6. Its multiple USB ports and HDMI support broad peripheral and display compatibility, suitable for media playback or development environments requiring HDMI output. The main tradeoff is that it doesn’t match the AI hardware or high-speed storage support of the Cubie A5E, making it less suitable for AI or industrial-grade applications. Its straightforward design makes it accessible for hobbyists and small-scale professional projects alike.
Pros:- Quad-core RK3528A CPU with GPU support
- Supports 4K HDMI output
- Gigabit Ethernet with PoE support
- Multiple USB ports and expandability
Cons:- Lacks dedicated AI hardware or GPU acceleration
- Limited network connectivity options compared to Cubie A5E
- Less suitable for high-end multimedia or AI workloads
Best for: Media enthusiasts, DIY media center builders, and embedded system developers needing reliable HDMI output and decent processing power.
Not ideal for: AI developers or network-heavy applications that require advanced connectivity or AI hardware acceleration.
- Processor:RK3528A quad-core
- Memory:4 GB LPDDR4
- Storage:eMMC and SD card support
- Connectivity:Gigabit Ethernet, optional PoE
- Video Output:4K HDMI
- Form Factor:Compact SBC
- Operating System:Linux
- Dimensions:3.5″ x 3.5″
Bottom line: This SBC makes a solid choice for multimedia applications and basic embedded systems where HDMI output and decent processing are needed.
How We Picked
These SBCs were selected based on a combination of performance benchmarks, connectivity options, build quality, and versatility. I prioritized models that represent a range of use cases, from AI and IoT to general computing. The ranking emphasizes real-world applicability, ease of use, and future-proof features like expansion ports and high-speed interfaces. Cost-to-performance ratio was also a key factor, ensuring options are accessible for different budgets. This approach ensures that each pick addresses specific user needs while maintaining overall quality and reliability.Factors to Consider When Choosing Best Single-board Computers
When choosing a single-board computer, consider several critical factors to ensure it fits your project and skill level. The right SBC should balance performance, connectivity, expandability, and ease of use, depending on your specific goals. Avoid common pitfalls like overpaying for unnecessary features or selecting underpowered boards that limit your project’s potential. The following sections highlight key considerations to help you make an informed choice.Performance and Processing Power
Assess your project’s computational needs carefully. For AI, robotics, or media processing, opt for boards with higher CPU and GPU capabilities, such as the NVIDIA Jetson Orin Nano. For lightweight tasks or learning, less powerful options like the Raspberry Pi 3B+ are sufficient and more affordable. Keep in mind that more processing power often means increased cost and complexity, so match your SBC to your actual workload to avoid overspending.
Connectivity and Expansion Options
Consider the types of ports and wireless features you need. Models with Wi-Fi 6, Gigabit Ethernet, and multiple M.2 slots support faster data transfer and hardware expansion, crucial for edge AI or IoT deployments. On the other hand, some boards focus on simplicity but may lack advanced connectivity, which could limit future upgrades. Think about your project’s data flow and how much hardware flexibility you’ll require over time.
Ease of Use and Community Support
For beginners, the availability of tutorials, forums, and software support can make a significant difference. Raspberry Pi boards, particularly the Pi 5, have extensive community backing, making troubleshooting and software setup easier. More specialized SBCs may require deeper technical knowledge but can offer better performance for specific tasks. Weigh your comfort level with technical details against your need for reliable support.
Cost and Value
Balance your budget with the features you need. High-performance boards like the LattePanda or NVIDIA Jetson tend to be more expensive but provide advanced capabilities. Conversely, more affordable options like the Raspberry Pi 4 or 3B+ deliver solid performance at a lower price point. Consider long-term costs, including accessories and power supplies, to ensure the total investment aligns with your project’s scope.
Power Consumption and Size
Power efficiency matters especially for portable or remote projects. Smaller form factors like the Radxa Rock 2A or Cubie A5E can be ideal for embedded applications, but may sacrifice some performance or expandability. Larger SBCs generally consume more power and require more robust power supplies. Match your project’s mobility, size constraints, and power budget to the SBC’s physical and energy characteristics.
Frequently Asked Questions
Which single-board computer is best for AI projects?
The NVIDIA Jetson Orin Nano is specifically designed for AI workloads, offering high-performance GPU capabilities and optimized software support. It excels at machine learning, computer vision, and robotics applications, making it a top choice for AI development. However, it comes at a higher price point, so budget considerations are important. If your project demands intensive AI processing, this board provides a significant advantage over more general-purpose options.
Is the Raspberry Pi 5 suitable for building a media center?
Yes, the Raspberry Pi 5 8GB is well-suited for media center applications thanks to its powerful CPU, increased RAM, and HDMI 2.1 support. It can handle 4K video playback smoothly and has a large ecosystem of media-related software like Kodi. Its ease of use and community support make it a popular choice for DIY media projects. Keep in mind that for very demanding streaming setups or advanced audio configurations, additional accessories might be necessary.
What should I consider if I want to use an SBC for robotics?
For robotics, look for an SBC with robust connectivity options, real-time processing capabilities, and expansion ports. Boards like the LattePanda or Cubie A5E offer powerful processors and multiple Ethernet ports, which are useful for sensor integration and networking. Consider the availability of GPIO pins, compatibility with microcontrollers like Arduino, and power efficiency. The ease of programming and community support are also important for troubleshooting and development.
How important is community support when choosing an SBC?
Community support can significantly impact your experience, especially if you’re new to SBC projects. Boards like the Raspberry Pi benefit from extensive tutorials, forums, and pre-built software images, which can save time and reduce frustration. For more niche boards, support may be limited, requiring deeper technical knowledge or custom troubleshooting. Evaluate your familiarity with embedded systems and the resources available before choosing a less-supported option.
Should I prioritize processing power or expandability?
This depends on your project’s scope. If you need high computational performance for tasks like AI or video editing, prioritize a board with a powerful CPU and GPU, such as the NVIDIA Jetson or LattePanda. However, if your project requires future hardware upgrades or additional peripherals, choose an SBC with multiple expansion ports and high-speed interfaces. Balancing these factors ensures your SBC remains useful as your project evolves.
Conclusion
For general-purpose use and beginners, the Raspberry Pi 5 8GB offers a balanced mix of performance, community support, and affordability. If your focus is on AI or edge computing, the NVIDIA Jetson Orin Nano provides unmatched processing power, though at a higher cost. The Orange Pi 4 Pro makes sense for those needing advanced connectivity and AI features without the premium price. Advanced users working on robotics or IoT projects should consider options like the LattePanda or Cubie A5E for their expandability. Ultimately, your choice should align with your technical skills, project scope, and budget, ensuring you select an SBC that best fits your needs.
