Profile Job Results
Jobs
j5mq9vrwp
Results Ready
Name
pidnet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
5/20/2025, 7:39:52 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405-auto
- QNN TfLite Delegate: v2.32.6.250402152434_116405-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.05.14.0
Estimated Inference Time
58.8 ms
Estimated Peak Memory Usage
1 ‑ 39 MB
Compute Units
NPU
204
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.75 s | 71‑77 MB |
Subsequent App Load | 3.85 s | 111‑166 MB |
Inference | 58.8 ms | 1‑39 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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