Profile Job Results
Jobs
j7gj81y85
Results Ready
Name
fcn_resnet50
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 512, 3]Completion Time
8/27/2024, 9:54:32 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
41.6 ms
Estimated Peak Memory Usage
21 - 23 MB
Compute Units
NPU
86
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.63 s | 679-681 MB |
Subsequent App Load | 250 ms | 66-443 MB |
Inference | 41.6 ms | 21-23 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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