Profile Job Results
Jobs
j5m30w87g
Results Ready
Name
movenet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
11/30/2025, 1:38:17 AM
Options
--qairt_version latest --compute_unit cpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
6.34 ms
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
CPU
149
| Stage | Time | Memory |
|---|---|---|
First App Load | 59.8 ms | 0‑9 MB |
Subsequent App Load | 87.3 ms | 12‑23 MB |
Inference | 6.34 ms | 1‑10 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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