Profile Job Results
Jobs
jz5wr9xjp
Results Ready
Name
wideresnet50_quantized
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/27/2024, 8:47:47 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
1.78 ms
Estimated Peak Memory Usage
0 - 17 MB
Compute Units
NPU
82
| Stage | Time | Memory |
|---|---|---|
First App Load | 851 ms | 435-436 MB |
Subsequent App Load | 260 ms | 66-293 MB |
Inference | 1.78 ms | 0-17 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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