Profile Job Results
Jobs
jpxkqxo35
Results Ready
Name
posenet_mobilenet_quantized
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]Completion Time
1/8/2025, 5:03:45 AM
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-2025.01.04.0
Estimated Inference Time
1.20 ms
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
48
| Stage | Time | Memory |
|---|---|---|
First App Load | 727 ms | 59‑65 MB |
Subsequent App Load | 751 ms | 56‑90 MB |
Inference | 1.20 ms | 0‑24 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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