Profile Job Results
Jobs
jp2xwmkrg
Results Ready
Name
fcn_resnet50_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
3/11/2025, 9:08:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
11.2 ms
Estimated Peak Memory Usage
0 ‑ 80 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.10 s | 360‑368 MB |
Subsequent App Load | 1.16 s | 347‑470 MB |
Inference | 11.2 ms | 0‑80 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device