Profile Job Results
Jobs
jgjv9w11g
Results Ready
Name
resnet_3d
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, 4:20:45 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
727 ms
Estimated Peak Memory Usage
29 ‑ 58 MB
Compute Units
NPU
50
CPU
5
| Stage | Time | Memory |
|---|---|---|
First App Load | 25.5 s | 1 GB |
Subsequent App Load | 25.6 s | 1‑2 GB |
Inference | 727 ms | 29‑58 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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