DEBIX Model A an industrial grade single board computer to bring you faster speed and more powerful performance. Based on quad core i.MX 8M Plus with 2.3 TOPS NPU, DEBIX Model A with complete software development and rich I/O ports is ready and capable for direct applications in industry 4.0, IoTs, smart cities and multimedia.
In this post we will see how to install your Android operating system and measure the performance of your CPU under a Machine Learning load by comparing the results with Raspberry Pi 4.
i.MX 8M Plus
The family CPU i.MX 8M Plus focuses on machine learning and vision, advanced multimedia, and industrial automation with high reliability. It is built to meet the needs of Smart Home, Building, City and Industry 4.0 applications.
Powerful 4x or 2x Arm® Cortex®-A53 processor up 1.8 Ghz with a Neural Processing Unit (NPU) operating at up to 2.3 TOP and Dual Image Signal Processor (ISPs): Resolution up to 12MP and input rate up to 375MPixels/s.
Installation
Download Android system image
Burn image with balena Etcher o Win32Image
Start DEBIX
Install Geekbench ML app for Android
Benchmark
NNAPI
- Graphics Processing Unit (GPU)
- Digital Signal Processor (DSP)
- Neural Processing Unit (NPU)
Geekbench ML
Geekbench ML uses real-world machine learning tasks to evaluate mobile inference performance. Geekbench ML measures your CPU, GPU, and NPU to determine whether your device is ready for today's and tomorrow's cutting-edge machine learning applications.
Raspberry Pi 4 vs nxp EMB-iMX8MP-02 (DEBIX Model A)
NNAPI
Completed results: https://browser.geekbench.com/ml/v0/inference/compare/207274?baseline=207272
Raspberry Pi 4 vs nxp EMB-iMX8MP-02 (DEBIX Model A)
CPU
Completed results:https://browser.geekbench.com/ml/v0/inference/compare/207264?baseline=207272