---
title: utils.export.rknn API Reference
description: RKNN export utilities for converting ONNX models to RKNN format for Rockchip NPUs with floating-point and INT8 quantized export support.
keywords: Ultralytics, RKNN, model export, ONNX to RKNN, Rockchip, NPU, RK3588, INT8 quantization, FP16, edge AI, embedded systems, neural network, hardware acceleration
---

# Reference for `ultralytics/utils/export/rknn.py`

!!! success "Improvements"

    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/rknn.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/rknn.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing) — thank you! 🙏

<br>

## ::: ultralytics.utils.export.rknn._check_rknn_return

<br><br><hr><br>

## ::: ultralytics.utils.export.rknn.onnx2rknn

<br><br>
