  Development in the field of Single Board Computers (SBC) have been increasing
for several years. They provide a good balance between computing performance
and power consumption which is usually required for mobile platforms, like
application in vehicles for Advanced Driver Assistance Systems (ADAS) and
Autonomous Driving (AD). However, there is an ever-increasing need of more
powerful and efficient SBCs which can run power intensive Deep Neural Networks
(DNNs) in real-time and can also satisfy necessary functional safety
requirements such as Automotive Safety Integrity Level (ASIL). ProAI is being
developed by ZF mainly to run powerful and efficient applications such as
multitask DNNs and on top of that it also has the required safety certification
for AD. In this work, we compare and discuss state of the art SBC on the basis
of power intensive multitask DNN architecture called Multitask-CenterNet with
respect to performance measures such as, FPS and power efficiency. As an
automotive supercomputer, ProAI delivers an excellent combination of
performance and efficiency, managing nearly twice the number of FPS per watt
than a modern workstation laptop and almost four times compared to the Jetson
Nano. Furthermore, it was also shown that there is still power in reserve for
further and more complex tasks on the ProAI, based on the CPU and GPU
utilization during the benchmark.
