Profile Job Results
Jobs
jgodjqwd5
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
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]proposals: float32[200, 4]Completion Time
10/20/2026, 8:01:00 AM
Options
--qairt_version 2.50Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.10.10.0
Estimated Inference Time
266 ms
Estimated Peak Memory Usage
0 ‑ 151 MB
Compute Units
NPU
763
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.52 min | 1 GB |
Subsequent App Load | 528 ms | 52‑53 MB |
Inference | 266 ms | 0‑151 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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