Profile Job Results
Jobs
jpr2vq405
Results Ready
Name
face_attrib_net
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
6/28/2025, 5:21:40 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
887 μs
Estimated Peak Memory Usage
0 ‑ 149 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.56 s | 147‑148 MB |
Subsequent App Load | 1.50 s | 169‑173 MB |
Inference | 887 μs | 0‑149 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 |
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