Profile Job Results
Jobs
jgjvoevvg
Results Ready
Name
foot_track_net_quantized
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 480, 640, 3]Completion Time
11/26/2024, 12:59:35 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.23 ms
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
146
| Stage | Time | Memory |
|---|---|---|
First App Load | 803 ms | 60‑67 MB |
Subsequent App Load | 822 ms | 42‑75 MB |
Inference | 2.23 ms | 0‑20 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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