Profile Job Results
Jobs
jn5q4l4eg
Results Ready
Name
shufflenet_v2_quantized
Target Device
- SA8775 (Proxy)
- Android 13
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/11/2024, 7:56:11 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
0.64 ms
Estimated Peak Memory Usage
0 - 72 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 360 ms | 29-31 MB |
Subsequent App Load | 175 ms | 3-74 MB |
Inference | 0.64 ms | 0-72 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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