Profile Job Results
Jobs
jgj2x8zx5
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, 16, 112, 112, 3]Completion Time
9/27/2025, 5:38:01 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN TfLite Delegate: v2.38.0.250901140452_125126-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
525 ms
Estimated Peak Memory Usage
0 ‑ 52 MB
Compute Units
NPU
57
| Stage | Time | Memory |
|---|---|---|
First App Load | 25.4 s | 928‑937 MB |
Subsequent App Load | 26.4 s | 1 GB |
Inference | 525 ms | 0‑52 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 |
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