![]() Arduino Portenta H7 is slower than Teensy 4.0, but generally faster than STM32 Nucleo H743ZI2, ranking most of the times at position 1st and 2nd. STMicroelectronics NUCLEO-H743ZI Dev.kit: STM32 STM32H743ZIT6 Add-on connectors: 2 base board - This product is available in Transfer Multisort.STM32 Nucleo H743ZI2 is fast on Decision Tree, Random Forest and Gaussian NB, but not so fast on the other classifiers.Sharing connectors, STM32 Nucleo boards can easily be extended with a large number of application related hardware add-ons (Nucleo-64 include Arduino Uno rev3 & ST morpho connectors, Nucleo-32 include Arduino Nano connectors). ![]() Is it surprising? Not at all, if you consider it is clocked at 600 MHz vs 480 MHz of Arduino Portenta H7 and STM32 Nucleo H743ZI2 The highly affordable STM32 Nucleo development boards allow to try out new ideas and to quickly create prototypes with any STM32 MCU. Teensy 4.0 is a clear winner, since it's the fastest on most of the cases.What conclusions can we draw from these benchmarks? It's possible because all inference times are rounded to a 5 microseconds resolution: since Decision Tree took 1-2 microseconds on each board to run, their inference times get all rounded to the same value, ending in a tie.Ī more informative case is "XGBoost": you can clearly see that Teensy always ranked first, Arduino Portenta H7 always ranked second and STM32 Nucleo H743ZI2 always ranked third.Īt the end of the day, summing all the positions for all datasets for all classifiers, we get a global ranking of the boards. So Teensy should be the clear winner here! Well, not really, beacuse Arduino Portenta H7 and STM32 Nucleo H743ZI2 ranked the same. Let's look at the very first plot, "Ranking of Teensy for Decision Tree": it displays that the Teensy board ranked 9 times at first position for the Decision Tree classifier, 0 times at second and 0 times at third position. The lower the bar, the better.įor each classifier type in the benchmarking suite, you see 3 bar plot: each plot represents how many times the given board ranked at each position w.r.t the others two. X-CUBE-AZRTOS-H7 (Azure ® RTOS STM32Cube Expansion Package) provides a full integration of Microsoft ® Azure ® RTOS in the STM32Cube environment for the STM32H7 series of microcontrollers. Conclusions Benchmark #1: Benchmarks per Datasetįor each dataset in the benchmarking suite, you see a bar plot: each bar represents the inference time (in microseconds, in log scale) of how much it takes for a given classifier to predict samples from the dataset.
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