Profile Job Results
Jobs
jgnm684vp
Results Ready
Name
ddrnet23_slim
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
6/28/2025, 10:02:11 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
54.3 ms
Estimated Peak Memory Usage
2 ‑ 49 MB
Compute Units
NPU
133
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.48 s | 140‑146 MB |
Subsequent App Load | 3.71 s | 183‑253 MB |
Inference | 54.3 ms | 2‑49 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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