Profile Job Results
Jobs
jp0lzr70p
Results Ready
Name
nasnet_float
Target Device
- XR2 Gen 2 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/14/2025, 12:56:28 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.03.0
Estimated Inference Time
14.8 ms
Estimated Peak Memory Usage
0 ‑ 324 MB
Compute Units
NPU
772
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.2 s | 2 GB |
Subsequent App Load | 16.2 s | 2 GB |
Inference | 14.8 ms | 0‑324 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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