Hey,
Does anyone know why wouldn't Detectron2 run on integrated Xe graphics card using OpenVINO?
It does work fine with Intel CPU but the moment I change to GPU it crashes without error on
compiled = core.compile_model(model, "GPU.0")
When I try to load YOLO11 model on Intel GPU it works totally fine as well so I am suspecting there is something to do specifically with Detectron2 model/architecture but havent been able to understand it.
Here is what my AI assistant came up with, perhaps you can confirm/deny/fix:
Confirmed Bug
This is a bug in OpenVINO's Intel GPU plugin that causes a segmentation fault when compiling Faster R-CNN models. The Intel GPU OpenCL kernel compiler crashes when processing the model's dynamic operations (ROI Align, NMS, Gather, etc.).
Summary Table
Model Intel GPU Crash Type Evidence
| Simple ReLU | Works | - | - |
| YOLO11n | Works (7ms, 144 FPS) | - | - |
| Faster R-CNN | Crashes | SEGFAULT (0xC0000005) | Access violation in compile_model |
Optional: Report to Intel
You could report this bug to Intel with this information:
GitHub Issue: https://github.com/openvinotoolkit/openvino/issues
Report contents:
- OpenVINO version: 2025.4.1
- Intel GPU: Iris Xe Graphics (iGPU), driver 32.0.101.7026
- Model: Detectron2 Faster R-CNN (1966 operations)
- Error: SEGFAULT (0xC0000005) during core.compile_model(model, "GPU.0")
- Note: YOLO models work fine on same GPU
