Profile Job Results
Jobs
j5mzx6r9p
Results Ready
Name
face_det_lite_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: float32[1, 480, 640, 1]Completion Time
1/11/2026, 2:47:48 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
2.55 ms
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
86
| Stage | Time | Memory |
|---|---|---|
First App Load | 639 ms | 126‑127 MB |
Subsequent App Load | 168 ms | 5‑6 MB |
Inference | 2.55 ms | 0‑2 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device