Raspberry Pi 5 vs Jetson Orin Nano Super

If you've ever tried to choose the right control board for your ROS robot, you've almost certainly encountered this question: Raspberry Pi 5 or Jetson Orin Nano Super?

Both run Linux, both have better community support — and both are found on the desks of makers around the world. But in reality, they are completely different machines, designed for entirely different tasks.

We've extensively tested both control boards in the Yahboom ROSMASTER series robots, and this guide will provide you with an objective and unbiased answer based on real-world robotics experience, rather than simply relying on parameter lists.

The Short Answer

Choose Raspberry Pi 5 if you're learning ROS2, building a navigation robot, or working on a budget.

Choose Jetson Orin Nano Super if your robot needs real-time AI vision, object detection, or you plan to run deep learning models on board.

Now let's get into why.

Head-to-Head Specs

Round 1: Getting Started with ROS2

Winner: Raspberry Pi 5

If you're new to ROS2, the Raspberry Pi 5 is a much easier device to get started with. The ROS2 community is huge—tutorials, Docker images, and ROS packages are all first tested on Raspberry Pi hardware. Installing ROS2 Humble (or Jazzy) on a Raspberry Pi 5 takes less than 30 minutes and follows standard Ubuntu/Debian installation instructions.

The Jetson Orin Nano requires firmware flashing via the NVIDIA SDK Manager, which requires a host machine and can take an hour or more for beginners. The JetPack environment is powerful, but it also has some issues—especially when you're mixing community ROS packages with NVIDIA's CUDA libraries.

Conclusion: Don't let hardware setup be the hardest part of your first ROS bot. Start with a Raspberry Pi 5.

Round 2: Navigation and SLAM

Winner: Raspberry Pi 5

For classic mobile robotics tasks — LiDAR-based SLAM (Gmapping, Cartographer, RTAB-Map), Nav2 path planning, and sensor fusion — the Raspberry Pi 5 handles everything comfortably. Its quad-core Cortex-A76 is roughly 3× faster than the old Pi 4, and running Nav2 with a LiDAR + IMU on the Pi 5 is smooth and responsive.

In our ROSMASTER M1 and M3 series testing, Pi 5-based robots navigate corridors, build maps, and follow dynamic paths without breaking a sweat. The CPU headroom is more than enough for the ROS compute graph at this level.

The Jetson Orin Nano can do all of this too — but you're paying $170 extra for GPU compute that Nav2 doesn't even use. That's money better spent on a better LiDAR or depth camera.

Verdict: For navigation robots, the Pi 5 is the smarter budget decision.

Round 3: AI Vision and Object Detection

Winner: Jetson Orin Nano Super — And it's not close

This is where the gap becomes a canyon.

Running YOLOv8n (the lightest YOLO model) on a Raspberry Pi 5 gives you around 5–15 FPS using CPU inference — barely enough for slow-moving scenes, completely inadequate for a moving robot trying to detect and avoid obstacles in real time.

The same model on the Jetson Orin Nano Super, optimized with TensorRT, runs at 100+ FPS. Larger models like YOLOv8m or YOLOv8l — which you'd need for reliable detection at distance — won't even run in real time on the Pi 5 at all.

If your robot needs to see, track, identify, or react to objects in the real world — a pick-and-place arm, an autonomous vehicle, a surveillance drone, a social robot — only the Jetson gives you the headroom to do it properly.

Verdict: No contest. Jetson Orin Nano Super wins AI vision decisively.

Round 4: Power Consumption (Battery Life)

Winner: Raspberry Pi 5

In robotics, power matters — Especially for battery-powered mobile platforms.

 Raspberry Pi 5 draws 5–10W at typical ROS workloads

 Jetson Orin Nano Super draws 15W by default, up to 25W under full AI load

On a 9600mAh battery pack, the Pi 5 gives you roughly 3 – 4 hours of runtime. The Jetson under load cuts that to 1.5 – 2 hours.

The Jetson does offer a 7W eco mode via nvpmodel, which helps — but even then it's drawing more than a Pi 5 at idle.

Verdict: For all-day field robots or competition robots, the Pi 5's efficiency is a real advantage.

Which Yahboom Robot Uses Which?

We design our ROSMASTER robots to match the right brain to the right job:

The Decision Framework

Use this simple flowchart to make your choice:

Does your robot need real-time object detection, pose estimation, or deep learning inference?

---> YES --> Jetson Orin Nano Super

You need CUDA. Don't compromise.

---> NO

Is budget a concern?

---> YES --> Raspberry Pi 5

Final Verdict

Both boards are excellent — but they're excellent at different things.

The Raspberry Pi 5 is the right starting point for most makers building their first or second ROS robot.

The Jetson Orin Nano Super is the right tool the moment your robot needs to see and think at the same time.

What's Next?

· Shop ROSMASTER M1 with Raspberry Pi 5

· Shop ROSMASTER M3 Pro with Jetson Orin Nano Super

· Shop DOFBOT Pro with Jetson Orin Nano Super

· Shop DOGZILLA with Raspberry Pi 5

· Shop MUTO RS with Raspberry Pi 5

Have questions about which board fits your project? Drop a comment below or reach out to our support team — we build robots with both platforms every day and are happy to help you choose.