| Category | Winner | Why |
|---|---|---|
| AI Inference Performance | NVIDIA Jetson Orin Nano Developer Kit (8GB) | The Jetson Orin Nano delivers 67 TOPS through 1024 Ampere CUDA cores and 32 Tensor Cores, achieving 157 FPS on YOLOv8n object detection. The Raspberry Pi 5 has no onboard AI accelerator — adding the optional Hailo-8L AI Kit brings 13 TOPS and roughly 77 FPS on the same model. For multi-stream video analytics or models larger than MobileNet-class, the Jetson's 3x TOPS advantage translates directly to higher throughput. |
| General CPU Performance | NVIDIA Jetson Orin Nano Developer Kit (8GB) | The Jetson Orin Nano's 6-core Arm Cortex-A78AE at 1.5 GHz outperforms the Pi 5's 4-core Cortex-A76 at 2.4 GHz in multi-threaded workloads thanks to two extra cores and a newer microarchitecture. Single-threaded performance is close — the Pi 5's higher clock speed partially compensates for the A78AE's IPC advantage. For compilation, Docker containers, and parallel data processing, the Jetson's extra cores matter. |
| GPU and Graphics | NVIDIA Jetson Orin Nano Developer Kit (8GB) | The Jetson's 1024-core Ampere GPU supports CUDA 11.4, cuDNN, and TensorRT for GPU-accelerated computing beyond just AI — scientific simulation, video encoding, and parallel data processing. The Pi 5's VideoCore VII GPU handles 4Kp60 display output and hardware H.265 decode but has no general-purpose GPU compute capability. For any workload that benefits from GPU parallelism, the Jetson is in a different class. |
| Total System Cost | Raspberry Pi 5 (8GB) | The Pi 5 8GB costs roughly 5-6x less than the Jetson Orin Nano Super Developer Kit. Even adding the Hailo-8L AI Kit for 13 TOPS inference keeps the total Pi system well under half the Jetson's cost. The Pi 5 uses a standard USB-C 5V/5A power supply, microSD or NVMe storage, and thousands of sub-ten-dollar HAT accessories. The Jetson requires its included 19V barrel jack supply and has fewer low-cost peripherals. |
| Power Efficiency | Raspberry Pi 5 (8GB) | The Pi 5 draws 3-4W at idle and 8-12W under full CPU and AI Kit load, powered by a standard USB-C adapter. The Jetson Orin Nano draws 5W at idle and scales from 7W to 25W under AI inference load depending on power mode. For battery-powered or solar-powered edge deployments, the Pi 5 system delivers better TOPS-per-watt: approximately 1.1-1.6 TOPS/W with the Hailo-8L versus the Jetson's 1.6-2.7 TOPS/W at higher absolute power draw. |
| Software Ecosystem and Community | Raspberry Pi 5 (8GB) | The Pi 5 runs Raspberry Pi OS with monthly updates from a dedicated engineering team. Thousands of tutorials, HATs, sensors, and Home Assistant integrations work out of the box. The Jetson runs JetPack SDK (Ubuntu-based) with NVIDIA's AI software stack — powerful but narrower. JetPack updates arrive quarterly and focus on AI/robotics frameworks. For projects that combine AI with physical computing, displays, or home automation, the Pi ecosystem is vastly larger. |
Data from PAM Finds