Profile Job Results
Jobs
jegnwx3jg
Results Ready
Name
googlenet_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/27/2024, 10:42:05 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
0.88 ms
Estimated Peak Memory Usage
0 - 20 MB
Compute Units
NPU
86
| Stage | Time | Memory |
|---|---|---|
First App Load | 512 ms | 63-70 MB |
Subsequent App Load | 292 ms | 7-28 MB |
Inference | 0.88 ms | 0-20 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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