Profile Job Results
Jobs
jgdexdnz5
Results Ready
Name
face_attrib_net
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
4/8/2025, 5:34:15 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
671 μs
Estimated Peak Memory Usage
0 ‑ 40 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.26 s | 220‑228 MB |
Subsequent App Load | 1.26 s | 230‑316 MB |
Inference | 671 μs | 0‑40 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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