# Qualcomm IM SDK release 1.8

Tab Qualcomm Linux

- *class* tabincludedirective

    - ## Release information

Table : Software version

| Software | Version |
| --- | --- |
| Yocto | Scarthgap 5.0.15 |
| Kernel | 6.6.119 |

Table : Release tag version

| Release tag | Version |
| --- | --- |
| Firmware | r1.0\_00120.0 |
| Manifest | qcom-6.6.119-QLI.1.8-Ver.1.1 |
| Meta-qcom-extras | r1.0\_00121.0 |
| Qualcomm IM SDK | qcom-6.6.119-QLI.1.8-Ver.1.1\_qim-product-sdk-2.3.1 |

Table : Supported platforms and reference kits

| SoC platforms | Reference kits |
| --- | --- |
| QCS6490 | <ul class="simple"><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Vision Development Kit</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Core Development Kit</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Industrial Kit</p></li><br></ul> |
| QCS5430 | <ul class="simple"><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Lite Vision Development Kit</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Lite Core Development Kit</p></li><br></ul> |
| Qualcomm Dragonwing^TM^ IQ-9075 | <ul class="simple"><br><li><p>Qualcomm Dragonwing<sup>TM</sup> IQ-9075 Beta Evaluation Kit (EVK)</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> IQ-9075 Evaluation Kit (EVK)</p></li><br></ul> |
| Qualcomm Dragonwing^TM^ IQ-8275 | Qualcomm Dragonwing^TM^ IQ-8275 Beta Evaluation Kit (EVK) |

## Contents of the release

The contents of the Qualcomm IM SDK release include:

- Recipes for building the individual components:

    - Qualcomm^®^ Intelligent Multimedia SDK (IM SDK)
    - Lite Runtime (LiteRT)
    - Qualcomm^®^ Neural Processing SDK
    - Qualcomm^®^ AI Engine direct SDK

To get started with the Qualcomm IM SDK, see [Qualcomm Intelligent Multimedia (IM SDK) Quick Start Guide](https://docs.qualcomm.com/doc/80-70029-51).

## New features

Qualcomm IM SDK supports open neural network exchange (ONNX) runtime through the `qtimlonnx` plugin.

## Sample applications

The following new features are added in sample applications:

- Added ONNX runtime support for the `gst-ai-classification`, `gst-ai-object-detection`, and `gst-ai-usb-camera-app` sample applications.
- Enabled the `gst-webrtc-sendrecv-example` sample application support.

For the complete list of sample applications supported in the Qualcomm IM SDK and instructions on how to run them, see [Sample applications](https://docs.qualcomm.com/doc/80-70029-50/topic/example-applications.html).

## Issues resolved

The following issues are resolved in the Qualcomm IM SDK release:

- Use cases with files having dynamic resolution change (DRC) may fail. This issue occurs because the video driver allocates buffers that are only partially accessible to the GPU driver.
- `qtiobjtracker` exhibits non‑linear execution‑time growth during extended runs, which can act as a performance bottleneck.
- ROI isn’t being generated in daisychain detection‑classification use cases when using a USB camera source with the YUY2 format.
- Fixed capture use case failure with `gst-camera-switch-example`.

## Limitations

The following are the known limitations in the Qualcomm IM SDK release:

- Frame drops may be seen with detection models when using the deprecated `qtioverlay` plugin, particularly in cases with many detections.

    **Workaround**: Switch to `qtivoverlay` or `qtivcomposer`, which are the preferred plugins.
- AI/ML parallel inference for 32 streams varies between 20–30 fps depending on the model and input stream, which is less than the expected 30 fps.
- Frame drops are observed with the Qualcomm^®^ Neural Network plugin when running on GPU delegate.
- Frame drops are observed in daisychain detection‑pose use cases when the pose detection load (people per frame × model inference time) exceeds the per‑frame time limit (33 ms for 30 fps).
- Reverse playback is limited to video streams with a GOP length that fits within the buffer limitations of the video driver (&lt;= 26).
- For Dragonwing IQ-9075 and Dragonwing IQ-8275:

> 
> 
> - Random corruption is observed at the beginning of playback for low-resolution (480p) NV12 UBWC-compressed streams.
>     - Stability issues are observed when running multibatch ML use cases.
- The `waylandsink` plugin doesn’t support displaying windows at custom screen coordinates.
- Support for python bindings of OpenCV isn’t enabled within the Qualcomm IM SDK docker container.
- When using the `qtimlpostprocess` plugin for postprocessing, a display latency occurs after approximately 30 minutes of running ML use cases on a camera stream.
- Issue is observed while encoding camera streams when the application dynamically links and unlinks streams.
- Audio classification doesn’t work as expected for files with FLAC audio content.

## Related documents

- [Qualcomm Intelligent Multimedia SDK (IM SDK) Reference](https://docs.qualcomm.com/doc/80-70029-50/topic/qimsdk_landing_page.html)
- [Qualcomm Intelligent Multimedia (IM SDK) Quick Start Guide](https://docs.qualcomm.com/doc/80-70029-51/topic/qmi-sdk-qsg-landing-page.html)
- [Qualcomm Dragonwing RB3 Gen 2 Development Kit Guide](https://docs.qualcomm.com/doc/80-70029-251/topic/landing-page.html)
- [Qualcomm Dragonwing IQ-9075 Evaluation Kit user guide – Linux](https://docs.qualcomm.com/doc/80-70029-261/topic/iq9-ug-landing-page.html)
- [Qualcomm Linux Build Guide](https://docs.qualcomm.com/doc/80-70029-254/topic/build_landing_page.html)
- [Qualcomm Linux Migration Guide](https://docs.qualcomm.com/doc/80-70029-150/topic/introduction.html)

Last Published: Jul 20, 2026

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