Profile Job Results
Jobs
jgdn3x2l5
Results Ready
Name
litehrnet
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]Completion Time
3/11/2025, 4:30:13 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
4.61 ms
Estimated Peak Memory Usage
0 ‑ 17 MB
Compute Units
NPU
1111
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.70 s | 76‑77 MB |
Subsequent App Load | 2.53 s | 104‑106 MB |
Inference | 4.61 ms | 0‑17 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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