SOMNIUM are members of the EEMBC Automotive Subcommitee and use EEMBC Autobench as part our of product development and validation process.
AutoBench is a suite of benchmarks that allow users to predict MCU performance in automotive, industrial, and general-purpose applications. Its benchmark kernels include the following:
Bit manipulation, matrix multiplication, floating point arithmetic, cache busting, pointer chasing, PWM and other features typically used in encryption algorithms.
Including algorithms important for sensors - FFT, iFFT, FIR, iDCT and IIR.
Include CAN, tooth-to-spark, angle-to-time conversion, road speed calculation and table lookup/interpolation
The results achieved clearly demonstrate the practical impact of DRT's benefits - over 50% energy reduction and ROM/RAM reductions of 30%/70% with performance increases of over 15%. When applied to IoT designs this enables usage of the wide range of Kinetis devices allowing you "do more with less", extracting more functionality, performance and compute from Kinetis devices.
IoT Physical Components
If you have any questions or comments, don't see exactly what you need, etc. please feel free to follow up with one of our IoT product managers directly, the NXP IoT Solutions Center Follow Up Team, or the NXP IoT Solutions Center Community: FSIOTCTR@freescale.com or Bill.Krakar@freescale.com