Profile Job Results
Jobs
jgjl7xxvp
Results Ready
Name
bgnet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
2/21/2026, 2:34:46 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
19.9 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
360
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.66 s | 551‑552 MB |
Subsequent App Load | 346 ms | 0‑497 MB |
Inference | 19.9 ms | 1‑3 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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