Profile Job Results
Jobs
jmg9q8xqp
Results Ready
Name
ffnet_54s
Target Device
- SA8775 (Proxy)
- Android 13
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/27/2024, 10:16:50 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
20.1 ms
Estimated Peak Memory Usage
2 - 4 MB
Compute Units
NPU
113
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.73 s | 367-368 MB |
Subsequent App Load | 215 ms | 36-188 MB |
Inference | 20.1 ms | 2-4 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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