Profile Job Results
Jobs
j5611jz6p
Results Ready
Name
bgnet_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
2/1/2026, 12:20:20 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
32.9 ms
Estimated Peak Memory Usage
1 ‑ 261 MB
Compute Units
NPU
360
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.7 s | 885‑891 MB |
Subsequent App Load | 400 ms | 101‑362 MB |
Inference | 32.9 ms | 1‑261 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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