Profile Job Results
Jobs
jpx0w2v1p
Results Ready
Name
detectron2_panoptic_seg_roi_head
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
proposals: float32[200, 4]feature_p2: float32[1, 256, 200, 200]feature_p3: float32[1, 256, 100, 100]feature_p4: float32[1, 256, 50, 50]feature_p5: float32[1, 256, 25, 25]Completion Time
10/20/2026, 8:01:39 AM
Options
--qairt_version 2.50Versions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.10.10.0
Estimated Inference Time
64.0 ms
Estimated Peak Memory Usage
52 ‑ 155 MB
Compute Units
NPU
427
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.55 min | 711‑712 MB |
Subsequent App Load | 362 ms | 25‑26 MB |
Inference | 64.0 ms | 52‑155 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device







