Profile Job Results
Jobs
jpvqd0njg
Results Ready
Name
ddrnet23_slim
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1280, 640, 3]Completion Time
3/11/2025, 7:28:09 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386-auto
- QNN TfLite Delegate: v2.32.0.250228225014_116386-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
9.70 ms
Estimated Peak Memory Usage
1 ‑ 34 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.55 s | 97‑107 MB |
Subsequent App Load | 7.59 s | 94‑141 MB |
Inference | 9.70 ms | 1‑34 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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