Profile Job Results
Jobs
j57ym9rv5
Results Ready
Name
posenet_mobilenet_quantized
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]Completion Time
1/8/2025, 5:06:33 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
7.96 ms
Estimated Peak Memory Usage
0 ‑ 17 MB
Compute Units
NPU
48
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.89 s | 59‑68 MB |
Subsequent App Load | 2.06 s | 55‑82 MB |
Inference | 7.96 ms | 0‑17 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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