Profile Job Results
Jobs
jpr606wep
Results Ready
Name
face_det_lite_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: uint8[1, 480, 640, 1]Completion Time
3/11/2025, 5:44:47 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
814 μs
Estimated Peak Memory Usage
0 ‑ 23 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 539 ms | 28‑35 MB |
Subsequent App Load | 531 ms | 30‑59 MB |
Inference | 814 μs | 0‑23 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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