Profile Job Results
Jobs
jgje63dx5
Results Ready
Name
face_det_lite_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: float32[1, 480, 640, 1]Completion Time
12/14/2025, 4:11:17 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN TfLite Delegate: v2.40.0.251030114326_189385-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
7.59 ms
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
86
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.52 s | 131‑140 MB |
Subsequent App Load | 2.17 s | 128‑248 MB |
Inference | 7.59 ms | 0‑20 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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