Profile Job Results
Jobs
j570k8z9g
Results Ready
Name
litehrnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]Completion Time
5/6/2025, 2:49:26 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
2.85 ms
Estimated Peak Memory Usage
0 ‑ 59 MB
Compute Units
NPU
1111
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.52 s | 121‑129 MB |
Subsequent App Load | 2.70 s | 145‑259 MB |
Inference | 2.85 ms | 0‑59 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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