This case study highlights a multi-object tracking application with reidentification using TVM on the SiMa.ai™ MLSoC accelerator. SiMa.ai will present how to use key TVM functionalities to ensure a smooth execution of a multi-model computer vision pipeline in a heterogeneous environment and efficiently map specific workloads to different computing devices to achieve the highest performance at the lowest power utilization. In addition, the need for analyzing the end-to-end application performance to best fit different markets and applications will be discussed in order to best support customers’ needs.