Profile Job Results
Jobs
jpekwn48p
Results Ready
Name
nasnet_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/25/2025, 8:38:35 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
5.57 ms
Estimated Peak Memory Usage
0 ‑ 367 MB
Compute Units
NPU
772
| Stage | Time | Memory |
|---|---|---|
First App Load | 19.6 s | 2 GB |
Subsequent App Load | 20.0 s | 2 GB |
Inference | 5.57 ms | 0‑367 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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