Profile Job Results
Jobs
jprvo8wvg
Results Ready
Name
posenet_mobilenet_quantized
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]Completion Time
11/26/2024, 11:39:47 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
566 μs
Estimated Peak Memory Usage
0 ‑ 112 MB
Compute Units
NPU
48
| Stage | Time | Memory |
|---|---|---|
First App Load | 465 ms | 53‑54 MB |
Subsequent App Load | 493 ms | 56‑161 MB |
Inference | 566 μs | 0‑112 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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