Profile Job Results
Jobs
jp0l2yrnp
Results Ready
Name
face_det_lite_float
Target Device
- XR2 Gen 2 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: float32[1, 480, 640, 1]Completion Time
10/26/2025, 12:50:53 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
3.48 ms
Estimated Peak Memory Usage
0 ‑ 33 MB
Compute Units
NPU
86
| Stage | Time | Memory |
|---|---|---|
First App Load | 594 ms | 130‑139 MB |
Subsequent App Load | 659 ms | 120‑238 MB |
Inference | 3.48 ms | 0‑33 MB |
| TensorFlow Lite | 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.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device