Profile Job Results
Jobs
jp12j89lg
Results Ready
Name
resnet_2plus1d
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
3/11/2025, 9:48:18 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
114 ms
Estimated Peak Memory Usage
1 ‑ 681 MB
Compute Units
NPU
87
CPU
7
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.7 s | 721‑722 MB |
Subsequent App Load | 10.1 s | 773‑776 MB |
Inference | 114 ms | 1‑681 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 |
| XNNPACK Delegate | Value |
|---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device