Profile Job Results
Jobs
jgjlx47vp
Results Ready
Name
face_det_lite
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: uint8[1, 480, 640, 1]Completion Time
3/8/2026, 1:40:23 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
289 μs
Estimated Peak Memory Usage
0 ‑ 34 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 451 ms | 44‑50 MB |
Subsequent App Load | 146 ms | 0‑36 MB |
Inference | 289 μs | 0‑34 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 |
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