Profile Job Results
Jobs
j5q22w675
Results Ready
Name
posenet_mobilenet_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 513, 257, 3]Completion Time
1/31/2026, 11:19:30 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
2.32 ms
Estimated Peak Memory Usage
0 ‑ 51 MB
Compute Units
NPU
41
| Stage | Time | Memory |
|---|---|---|
First App Load | 738 ms | 132‑139 MB |
Subsequent App Load | 167 ms | 1‑53 MB |
Inference | 2.32 ms | 0‑51 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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