Profile Job Results
Jobs
jglvd1oe5
Results Ready
Name
resnet_2plus1d
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 3, 16, 112, 112]Completion Time
1/8/2025, 4:26:37 AM
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-2025.01.04.0
Estimated Inference Time
827 ms
Estimated Peak Memory Usage
28 ‑ 63 MB
Compute Units
NPU
84
CPU
8
| Stage | Time | Memory |
|---|---|---|
First App Load | 37.9 s | 1 GB |
Subsequent App Load | 38.9 s | 1 GB |
Inference | 827 ms | 28‑63 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 |
| XNNPACK Delegate | Value |
|---|
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