# QNN EP ONNX Runtime supports hardware acceleration using execution providers (EPs). Use one of the following methods to run model inference using ONNX Runtime and QNN EPs: - - Provider Bridge EP/Non-application binary interface (ABI) - This is the traditional QNN EP integration model where the execution provider is built directly into the ONNX Runtime codebase as part of the main ONNX Runtime repository. - - Plugin EP/ABI (recommended) - The [ONNX Runtime QNN plugin](https://github.com/onnxruntime/onnxruntime-qnn) is an ABI-compatible execution provider delivered as a standalone shared library, decoupling it from the ONNX Runtime release cadence. This approach enables independent feature updates without requiring ONNX Runtime core releases. The following figure shows the interface boundaries in the Provider Bridge EP workflow and the Plugin EP workflow, highlighting the ABI-stable C API boundary that decouples the plugin from the ORT release cadence. ![../../_images/PluginEP-final.png](data:image/png;base64,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) QNN EP plugin Architecture The following tutorial demonstrates the ABI/plugin EP workflow. See [Provider Bridge EP/Non-ABI workflow](https://docs.qualcomm.com/doc/80-62010-1/topic/ort-qnn-ep-plugin.html#provider-bridge) for a plugin bridge EP example. ## Plugin EP/ABI workflow This section describes how to setup, download, and use the `onnxruntime-qnn` EP plugin and ONNX Runtime for inference on the CPU, GPU, or NPU. The [tutorial](https://docs.qualcomm.com/doc/80-62010-1/topic/ort-qnn-ep-plugin.html#ort-qnn-plugin-tutorial) demonstrates inference using an FP16 MobileNet‑V2 model. You can further optimize the model through Olive by applying quantization and perform inference on the optimized model using ONNX Runtime. ### Prerequisites - Python amd64 version 3.12.6 - Visual Studio Redistributable Version 14.44.35208 or above - `onnxruntime-qnn` python package (`onnxruntime-qnn`>=2.0.0) Do the steps in the following section to automatically download and install these prerequisites. ### Setup Complete this setup before you run the tutorial. It takes approximately five minutes. For more information about the setup, see [ort_setup.ps1](https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/ort_setup.ps1) 1. Open PowerShell in administrator mode and run the following commands to install the dependencies. PowerShell must be in administrator mode to grant the elevated permissions required to automatically install the necessary applications and execute the PowerShell scripts. 2. Set `$DIR_PATH`. It’s `C:\WoS_AI` by default although you can change it to your desired path. $DIR_PATH = "C:\WoS_AI" Copy to clipboard 3. Run the following command to download the setup script. if (!(Test-Path $DIR_PATH\Downloads\Setup_Scripts)) {mkdir $DIR_PATH\Downloads\Setup_Scripts} Invoke-WebRequest -O ort_setup.ps1 https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/ort_setup.ps1 Move-Item -Path ".\ort_setup.ps1" -Destination $DIR_PATH\Downloads\Setup_Scripts -Force Copy to clipboard 4. If your system blocks running scripts, run the following command and enter ‘A’(Yes for all). Set-ExecutionPolicy RemoteSigned Copy to clipboard 5. Run the following commands to install the dependencies for QNN EP. ORT-QNN-EP-Plugin setup: cd $DIR_PATH Copy to clipboard powershell -command "&{. .\Downloads\Setup_Scripts\ort_setup.ps1; ORT_QNN_PLUGIN_Setup -rootDirPath $DIR_PATH}" Copy to clipboard The command downloads and installs the following dependencies: > > > - Python amd64 version 3.12.6 > - Model artifacts include mobilenet\_v2.onnx model and io\_utils.py for pre/post processing. > - Visual Studio Redistributable Version 14.44.35208 > - Creates a virtual environment (SDX\_ORT\_QNN\_PLUGIN\_ENV) with the necessary libraries for the QNN EP. > - `onnxruntime-qnn` 6. When setup is complete, the following folder structure is in $DIR\_PATH: > > > ![../../_images/folders_structure_ort.png](data:image/png;base64,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) > > > - `Downloads`: This folder stores all the files required to complete the setup, such as Python installers and setup scripts. > - `Python_Env`: This directory contains the virtual environment (SDX\_ORT\_QNN\_PLUGIN\_ENV) created for the EPs. > - `Debug_Logs`: This directory contains logs corresponding to the setup. > - `Models`: This directory holds model sub-directories and their respective artifacts (for example, Mobilenet\_v2). ### ORT QNN tutorial This tutorial describes usages of the `onnxruntime-qnn` EP plugin for running the classification model (Mobilenet\_v2) on the CPU/GPU/NPU backend. 1. Open a PowerShell and run the following commands to set DIR\_PATH and activate the Python virtual environment. Ensure that DIR\_PATH is the same as the one used during the setup. ${DIR_PATH} = "C:\WoS_AI" Copy to clipboard powershell -NoExit -command "&{cd $DIR_PATH; . .\Downloads\Setup_Scripts\ort_setup.ps1; Activate_ORT_QNN_PLUGIN_VENV -rootDirPath $DIR_PATH}" Copy to clipboard Note The following example is for the MobileNet model. If you need to try the same example for a different model, use the existing Python virtual environment (SDX\_ORT\_QNN\_PLUGIN\_ENV) and handle the dependencies by providing the absolute path. Tab CPU Tab GPU Tab NPU 1. Run the following to create the `ort_qnn_plugin_cpu.py` file in the working directory. notepad.exe ort_qnn_plugin_cpu.py Copy to clipboard 2. Copy the following code into the `ort_qnn_plugin_cpu.py` file and save. #File_name : ort_qnn_plugin_cpu.py import onnxruntime as ort import onnxruntime_qnn as qnn_ep import io_utils import time # Register QNN EP library ep_lib_path = qnn_ep.get_library_path() ep_registration_name = "QNNExecutionProvider" ort.register_execution_provider_library(ep_registration_name, ep_lib_path) # Select QNN EP device all_ep_devices = ort.get_ep_devices() selected_ep_devices = [ep_device for ep_device in all_ep_devices if ep_device.ep_name == ep_registration_name] # Configure and create session ep_options = {'backend_path': qnn_ep.get_qnn_cpu_path()} print("ep_options: ",ep_options) session_options = ort.SessionOptions() session_options.add_provider_for_devices(selected_ep_devices, ep_options) session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) img_path = "https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Artifacts/coffee_cup.jpg" raw_img = io_utils.preprocess(img_path) outputs = session.get_outputs()[0].name inputs = session.get_inputs()[0].name # Model inferencing using preprocessed input. start_time = time.time() for i in range(10): prediction = session.run([outputs], {inputs: raw_img}) end_time = time.time() execution_time = ((end_time-start_time) * 1000)/10 # Step4: Output postprocessing io_utils.postprocess(prediction) print("Execution Time: ", execution_time, "ms") # Clean up del session ort.unregister_execution_provider_library(ep_registration_name) Copy to clipboard 3. Execute the `ort_qnn_plugin_cpu.py` Python script from the working directory. python .\ort_qnn_plugin_cpu.py Copy to clipboard This script uses Python utilities to preprocess a specified .jpg image according to the model’s requirements and sends it to the CPU EP for inference. The results from the CPU EP inference are then processed to show the identified object’s class and probability, as shown in the following example. ![../../_images/ort_qnn_plugin_cpu.png](data:image/png;base64,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) The inference results in the previous image show that the model identified a “coffee mug” as an object in the input image with a probability score of ~89.6%. 1. Run the following to create the `ort_qnn_plugin_gpu.py` file in the working directory. notepad.exe ort_qnn_plugin_gpu.py Copy to clipboard 2. Copy the following code into the `ort_qnn_plugin_gpu.py` file and save. #File_name : ort_qnn_plugin_gpu.py import onnxruntime as ort import onnxruntime_qnn as qnn_ep import io_utils import time # Register QNN EP library ep_lib_path = qnn_ep.get_library_path() ep_registration_name = "QNNExecutionProvider" ort.register_execution_provider_library(ep_registration_name, ep_lib_path) # Select QNN EP device all_ep_devices = ort.get_ep_devices() selected_ep_devices = [ep_device for ep_device in all_ep_devices if ep_device.ep_name == ep_registration_name] # Configure and create session ep_options = {'backend_path': qnn_ep.get_qnn_gpu_path()} print("ep_options: ",ep_options) session_options = ort.SessionOptions() session_options.add_provider_for_devices(selected_ep_devices, ep_options) session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) img_path = "https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Artifacts/coffee_cup.jpg" raw_img = io_utils.preprocess(img_path) outputs = session.get_outputs()[0].name inputs = session.get_inputs()[0].name # Model inferencing using preprocessed input. start_time = time.time() for i in range(10): prediction = session.run([outputs], {inputs: raw_img}) end_time = time.time() execution_time = ((end_time-start_time) * 1000)/10 # Step4: Output postprocessing io_utils.postprocess(prediction) print("Execution Time: ", execution_time, "ms") # Clean up del session ort.unregister_execution_provider_library(ep_registration_name) Copy to clipboard 3. Execute the `ort_qnn_plugin_gpu.py` Python script from the working directory. python .\ort_qnn_plugin_gpu.py Copy to clipboard This script uses Python utilities to preprocess a specified .jpg image according to the model’s requirements and sends it to the GPU EP for inference. The results from the GPU EP inference are then processed to show the identified object’s class and probability, as shown in the following example. ![../../_images/ort_qnn_plugin_gpu.png](data:image/png;base64,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) The inference results in the previous image show that the model identified a “coffee mug” as an object in the input image with a probability score of ~89.6%. Note Both FP32 and FP16 precision models are supported. 1. Just-in-time (JIT) : The model can be executed directly using ORT with online graph preparation. Following tutorial demonstrates the workflow of JIT approach. This section introduces the inference of the model on the NPU backend. - Run the following to create the `ort_qnn_plugin_npu.py` file in the working directory. > > > notepad.exe ort_qnn_plugin_npu.py > Copy to clipboard - Copy the following code into the `ort_qnn_plugin_npu.py` file and save. > > > #File_name : ort_qnn_plugin_npu.py > > import onnxruntime as ort > import onnxruntime_qnn as qnn_ep > import io_utils > import time > > # Register QNN EP library > ep_lib_path = qnn_ep.get_library_path() > ep_registration_name = "QNNExecutionProvider" > ort.register_execution_provider_library(ep_registration_name, ep_lib_path) > > # Select QNN EP device > all_ep_devices = ort.get_ep_devices() > selected_ep_devices = [ep_device for ep_device in all_ep_devices if ep_device.ep_name == ep_registration_name] > > # Configure and create session > ep_options = {'backend_path': qnn_ep.get_qnn_htp_path()} > print("ep_options: ",ep_options) > session_options = ort.SessionOptions() > session_options.add_provider_for_devices(selected_ep_devices, ep_options) > session_options.add_session_config_entry("session.disable_cpu_ep_fallback", "1") > session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) > > # Set run options for this specific inference > run_options = ort.RunOptions() > run_options.add_run_config_entry("qnn.perf_mode", "burst") > run_options.add_run_config_entry("qnn.rpc_control_latency", "100") > > img_path = "https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Artifacts/coffee_cup.jpg" > raw_img = io_utils.preprocess(img_path) > > outputs = session.get_outputs()[0].name > inputs = session.get_inputs()[0].name > > # Model inferencing using preprocessed input. > start_time = time.time() > for i in range(10): > prediction = session.run([outputs], {inputs: raw_img}) > end_time = time.time() > execution_time = ((end_time-start_time) * 1000)/10 > > # Step4: Output postprocessing > io_utils.postprocess(prediction) > print("Execution Time: ", execution_time, "ms") > > # Clean up > del session > ort.unregister_execution_provider_library(ep_registration_name) > Copy to clipboard > > > Note > > > To configure the NPU in performance mode, set the `qnn.perf_mode` option in the execution provider option as shown in the previous example. > For all available options, see [QNN Execution Provider Configuration Options](https://github.com/onnxruntime/onnxruntime-qnn/blob/main/docs/execution_providers/QNN-ExecutionProvider.md#configuration-options). - Execute the `ort_qnn_plugin_npu.py` Python script from the working directory. > > > python .\ort_qnn_plugin_npu.py > Copy to clipboard > > > This script uses Python utilities to preprocess a specified .jpg image according to the model’s requirements and sends it to the QNN EP for inference. > The results from the QNN EP inference are then processed to show the identified object’s class and probability, as illustrated in the following example. > > ![../../_images/ort_qnn_plugin_npu.png](data:image/png;base64,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) > > The inference results in the previous image show that the model identified a “coffee mug” as an object in the input image with a probability score of ~90%. 2. Ahead-of-time (AoT): The model’s context binary can be used to run a cached model, thereby eliminating model initialization time. The following tutorial demonstrates the AOT workflow. - Run the following to create the ort\_npu\_plugin\_ctx.py file in the working directory. > > > notepad.exe ort_npu_plugin_ctx.py > Copy to clipboard - Copy the following code into the *ort\_npu\_plugin\_ctx.py* file and save. > > > #File_name : ort_npu_plugin_ctx.py > > import onnxruntime as ort > import onnxruntime_qnn as qnn_ep > import io_utils > import time > > # Register QNN EP library > ep_lib_path = qnn_ep.get_library_path() > ep_registration_name = "QNNExecutionProvider" > ort.register_execution_provider_library(ep_registration_name, ep_lib_path) > > # Select QNN EP device > all_ep_devices = ort.get_ep_devices() > selected_ep_devices = [ep_device for ep_device in all_ep_devices if ep_device.ep_name == ep_registration_name] > > # Configure and create session > ep_options = {'backend_path': qnn_ep.get_qnn_htp_path()} > print("ep_options: ",ep_options) > session_options = ort.SessionOptions() > session_options.add_provider_for_devices(selected_ep_devices, ep_options) > session_options.add_session_config_entry("ep.context_enable","1") > session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) > > # Clean up > del session > ort.unregister_execution_provider_library(ep_registration_name) > Copy to clipboard - Execute the *ort\_npu\_plugin\_ctx.py* Python script from the working directory. > > > python .\ort_npu_plugin_ctx.py > Copy to clipboard > > ![../../_images/ort_plugin_ctx.png](data:image/png;base64,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) - This will create mobilenet\_v2\_ctx.onnx ctx onnx model that can be used for offline model inferencing. - Follow the `JIT` section and create `ort_qnn_plugin_npu.py` script and change the model name to **mobilenet\_v2\_ctx.onnx**. - Execute the `ort_qnn_plugin_npu.py` Python script from the working directory. > > > python .\ort_qnn_plugin_npu.py > Copy to clipboard > > ![../../_images/ort_qnn_plugin_ctx_npu.png](data:image/png;base64,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) Note The preceding tutorial demonstrates inference using an FP16 MobileNet‑V2 model. Developers can further optimize the model through [Olive](https://docs.qualcomm.com/doc/80-62010-1/topic/olive.html#olive-optimization) by applying quantization and perform inference on the optimized model using ONNX Runtime (ORT). ## Provider Bridge EP/Non-ABI workflow The non-ABI workflow operates in the traditional integration model where the QNN EP is statically coupled with the ONNX Runtime core. To execute the model on the NPU using this workflow, do the following: ### Prerequisites - Python amd64 version 3.12.6 - Visual Studio Redistributable Version 14.44.35208 or above - `onnxruntime-qnn`==1.24.4 python package ### Setup 1. Open PowerShell in administrator mode and run the following commands to install the dependencies. PowerShell must be in administrator mode to grant the elevated permissions required to automatically install the necessary applications and execute the PowerShell scripts. 2. Set `$DIR_PATH`. It’s `C:\WoS_AI` by default although you can change it to your desired path. $DIR_PATH = "C:\WoS_AI" Copy to clipboard 3. Run the following command to download the setup script. if (!(Test-Path $DIR_PATH\Downloads\Setup_Scripts)) {mkdir $DIR_PATH\Downloads\Setup_Scripts} Invoke-WebRequest -O ort_setup.ps1 https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Scripts/ort_setup.ps1 Move-Item -Path ".\ort_setup.ps1" -Destination $DIR_PATH\Downloads\Setup_Scripts -Force Copy to clipboard 4. If your system blocks running scripts, run the following command and enter ‘A’(Yes for all). Set-ExecutionPolicy RemoteSigned Copy to clipboard 5. Run the following commands to install the dependencies for QNN EP. cd $DIR_PATH powershell -command "&{. .\Downloads\Setup_Scripts\ort_setup.ps1; ORT_QNN_Setup -rootDirPath $DIR_PATH}" Copy to clipboard 6. Open a PowerShell and run the following commands to set `DIR_PATH` and activate the Python virtual environment. Ensure that `DIR_PATH` is the same as the one used during the setup. ${DIR_PATH} = "C:\WoS_AI" powershell -NoExit -command "&{cd $DIR_PATH; . .\Downloads\Setup_Scripts\ort_setup.ps1; Activate_ORT_QNN_VENV -rootDirPath $DIR_PATH}" Copy to clipboard 7. The model can be executed directly using ORT QNN plugin bridge EP. 1. Run the following to create the `ort_qnn_npu.py` file in the working directory. notepad.exe ort_qnn_npu.py Copy to clipboard 2. Copy the following code into the `ort_qnn_npu.py` file and save. # File_name : ort_qnn_npu.py import onnxruntime as ort import numpy as np import time #Qualcomm utility for pre-/postprocessing of input/outputs in model inference import io_utils # Step1: Runtime and model initialization # Set QNN Execution Provider options. execution_provider_option = {"backend_path": "QnnHtp.dll", "enable_htp_fp16_precision" : "1", "htp_performance_mode": "high_performance"} # Create ONNX Runtime session. onnx_model_path = "./mobilenet_v2.onnx" options = ort.SessionOptions() options.add_session_config_entry("session.disable_cpu_ep_fallback", "1") session = ort.InferenceSession(onnx_model_path, providers=["QNNExecutionProvider"], provider_options=[execution_provider_option]) # Step2: Input/Output handling, Generate raw input # github repo for below artifact: https://github.com/quic/wos-ai/tree/main/Artifacts img_path = "https://raw.githubusercontent.com/quic/wos-ai/refs/heads/main/Artifacts/coffee_cup.jpg" raw_img = io_utils.preprocess(img_path) # Model input and output names outputs = session.get_outputs()[0].name inputs = session.get_inputs()[0].name # Step3: Model inferencing using preprocessed input. start_time = time.time() for i in range(10): prediction = session.run([outputs], {inputs: raw_img}) end_time = time.time() execution_time = ((end_time-start_time) * 1000)/10 # Step4: Output postprocessing io_utils.postprocess(prediction) print("Execution Time: ", execution_time, "ms") Copy to clipboard 3. Execute the `ort_qnn_npu.py` Python script from the working directory. python .\ort_qnn_npu.py Copy to clipboard This script uses Python utilities to preprocess a specified .jpg image according to the model’s requirements and sends it to the QNN EP for inference. The results from the QNN EP inference are then processed to show the identified object’s class and probability, as illustrated in the following example. ![../../_images/ort_qnn_htp.png](data:image/png;base64,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) ## Accuracy debugger QAIRT provides the `qairt-accuracy-debugger` tool for identifying inaccuracies in neural networks at the layer level. This tool performs a comparison between the reference (golden) outputs generated by executing a model within an ML framework and the corresponding outputs obtained when running the same model on target hardware platforms, such as NPUs, CPUs, or GPUs. Refer to the [Accuracy Debugger](https://docs.qualcomm.com/doc/80-62010-1/topic/accuracy_debugger.html#accuracy-debugger) section for an example using the MobileNet\_v2 model. ## Performance analysis Optrace profiling provides you with visibility into how an AI model or network ran on the NPU hardware. It offers a detailed analysis of the execution flow and performance characteristics of the network on the NPU. For more details, see [QAIRT Optrace](https://docs.qualcomm.com/doc/80-62010-1/topic/qnn-optrace.html#optrace). ## Next steps Now that you know how to run a model using the QNN EP, go back to [ONNX Runtime](https://docs.qualcomm.com/doc/80-62010-1/topic/ort.html) or continue to the next section to try model inference with [HuggingFace Optimum + ONNX RT](https://docs.qualcomm.com/doc/80-62010-1/topic/hf-optimum-ort.html#hf-optimum-ort). ## More details > > > - [Learn more about the ONNX Runtime QNN EP plugin](https://github.com/onnxruntime/onnxruntime-qnn). > - [Microsoft ORT QNN EP plugin releases](https://github.com/onnxruntime/onnxruntime-qnn/releases) > - [C++ ORT QNN EP plugin example](https://github.com/onnxruntime/onnxruntime-qnn/blob/main/docs/execution_providers/QNN-ExecutionProvider.md#c) ## FAQs - Which Python version is supported? > > > - `onnxruntime-qnn` requires Python amd64 versions 3.10.4 to 3.12.x > > > > > > > > > - Tutorial examples validated with [python-3.12.6-amd64](https://www.python.org/ftp/python/3.12.6/python-3.12.6-amd64.exe) - How to run inference using C/C++? > > > - Use this [example](https://github.com/onnxruntime/onnxruntime-qnn/blob/main/docs/execution_providers/QNN-ExecutionProvider.md#c) to run inference using C/C++. - How to run FP32 model? - FP32 model by default run on FP16 precision when NPU backed is chosen. - How to specify NPU backend? > > > - Either use `{'backend_path': qnn_ep.get_qnn_htp_path()}` or `{"backend_type": "htp"}` in the `ep_options`, but not both. - How to enable CPU fallback for ORT-QNN? > > > - To enable CPU fallback, update the `ort_qnn_plugin_npu.py` by changing `session.disable_cpu_ep_fallback` to `0` as in the following example: > > > > > > > > > session_options = ort.SessionOptions() > > session_options.add_provider_for_devices(selected_ep_devices, ep_options) > > session_options.add_session_config_entry("session.disable_cpu_ep_fallback", "0") > > session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) > > Copy to clipboard - How to enable Debug log for model execution? > > > - To enable debug log, add the `log_severity_level` in the session options as in the following example: > > > > > > > > > session_options = ort.SessionOptions() > > session_options.add_provider_for_devices(selected_ep_devices, ep_options) > > session_options.log_severity_level = 0 > > session = ort.InferenceSession("mobilenet_v2.onnx", sess_options=session_options) > > Copy to clipboard Last Published: Sep 23, 2026 [Previous Topic CPU EP](https://docs.qualcomm.com/bundle/publicresource/80-62010-1/topics/ort-cpu-ep.md) [Next Topic Hugging Face Optimum + ORT](https://docs.qualcomm.com/bundle/publicresource/80-62010-1/topics/hf-optimum-ort.md)