Profile Job Results
Jobs
jgdx8726p
Results Ready
Name
fcn_resnet50_quantized
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
11/26/2024, 4:41:56 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
18.8 ms
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.80 s | 261‑267 MB |
Subsequent App Load | 4.95 s | 273‑330 MB |
Inference | 18.8 ms | 0‑39 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device