Profile Job Results
Jobs
jlpe6nd0g
Results Ready
Name
fcn_resnet50_quantized
Target Device
- SA8775 (Proxy)
- Android 13
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 512, 3]Completion Time
8/11/2024, 8:17:23 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
13.4 ms
Estimated Peak Memory Usage
5 - 29 MB
Compute Units
NPU
89
| Stage | Time | Memory |
|---|---|---|
First App Load | 918 ms | 249-250 MB |
Subsequent App Load | 193 ms | 32-184 MB |
Inference | 13.4 ms | 5-29 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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