Profile Job Results
Jobs
jp0rqr6ep
Results Ready
Name
gpunet
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
3/8/2026, 12:33:40 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
906 μs
Estimated Peak Memory Usage
0 ‑ 35 MB
Compute Units
NPU
67
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.25 s | 80‑85 MB |
Subsequent App Load | 164 ms | 14‑52 MB |
Inference | 906 μs | 0‑35 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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