Profile Job Results
Jobs
j5w3mvwmp
Results Ready
Name
resnet_2plus1d
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
8/2/2025, 5:49:05 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-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-2025.07.25.0
Estimated Inference Time
127 ms
Estimated Peak Memory Usage
28 ‑ 67 MB
Compute Units
NPU
87
CPU
7
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.8 s | 680‑689 MB |
Subsequent App Load | 28.0 s | 726‑813 MB |
Inference | 127 ms | 28‑67 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 |
| htp_options.device_id | 1 |
| XNNPACK Delegate | Value |
|---|
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