Profile Job Results
Jobs
jpew9j8op
Results Ready
Name
gpunet
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
9/27/2025, 8:10:21 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN TfLite Delegate: v2.38.0.250901140452_125126-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
1.11 ms
Estimated Peak Memory Usage
0 ‑ 29 MB
Compute Units
NPU
67
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.50 s | 117‑126 MB |
Subsequent App Load | 2.37 s | 121‑228 MB |
Inference | 1.11 ms | 0‑29 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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