Profile Job Results
Jobs
jpxyk1j8g
Results Ready
Name
nasnet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/14/2025, 1:10:52 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-2025.10.03.0
Estimated Inference Time
37.3 ms
Estimated Peak Memory Usage
0 ‑ 312 MB
Compute Units
NPU
772
| Stage | Time | Memory |
|---|---|---|
First App Load | 55.9 s | 2 GB |
Subsequent App Load | 57.1 s | 1‑2 GB |
Inference | 37.3 ms | 0‑312 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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