Profile Job Results
Jobs
jqp42j08g
Results Ready
Name
litehrnet
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]Completion Time
8/27/2024, 11:06:25 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
7.91 ms
Estimated Peak Memory Usage
0 - 149 MB
Compute Units
NPU
1233
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.74 s | 89-91 MB |
Subsequent App Load | 198 ms | 7-156 MB |
Inference | 7.91 ms | 0-149 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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