Profile Job Results
Jobs
jgjd7dneg
Results Ready
Name
foot_track_net
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 480, 640, 3]Completion Time
3/11/2025, 5:11:57 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386-auto
- QNN TfLite Delegate: v2.32.0.250228225014_116386-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
8.35 ms
Estimated Peak Memory Usage
5 ‑ 27 MB
Compute Units
NPU
135
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.46 s | 19‑25 MB |
Subsequent App Load | 1.42 s | 62‑96 MB |
Inference | 8.35 ms | 5‑27 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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