# Benchmark a LiteRT model The open-source LiteRT provides a tool to benchmark model execution on hardware using delegates. This tool is available along with other artifacts installed on the device. This benchmarking tool measures and calculates statistics for the following performance metrics: - Initialization time - Inference time of the Warm-up state - Inference time of the Steady state - Memory usage during initialization - Overall memory usage Next steps - [Prerequisites to run LiteRT sample applications](https://docs.qualcomm.com/doc/80-80022-15B/topic/prerequisites-to-run-litert-sample-applications.html) - [Benchmark LiteRT on CPU](https://docs.qualcomm.com/doc/80-80022-15B/topic/benchmark-litert-on-cpu.html) - [Benchmark LiteRT on GPU](https://docs.qualcomm.com/doc/80-80022-15B/topic/benchmark-litert-on-gpu.html) - [Benchmark Qualcomm AI Runtime using an external delegate](https://docs.qualcomm.com/doc/80-80022-15B/topic/benchmark-qairt-on-external-delegate.html) Last Published: Jun 23, 2026 [Previous Topic Export a Pytorch model to LiteRT](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/export-pytorch-model-litert.md) [Next Topic Prerequisites to run LiteRT sample applications](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/prerequisites-to-run-litert-sample-applications.md)