Profile Job Results
Jobs
jygzzy96g
Results Ready
Name
ffnet_40s_quantized
Target Device
- QCS8550 (Proxy)
- Android 12
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
8/11/2024, 8:09:25 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
4.14 ms
Estimated Peak Memory Usage
1 - 2 MB
Compute Units
NPU
99
| Stage | Time | Memory |
|---|---|---|
First App Load | 982 ms | 115-116 MB |
Subsequent App Load | 191 ms | 14-96 MB |
Inference | 4.14 ms | 1-2 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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