Profile Job Results
Jobs
j5w96xo3p
Results Ready
Name
bgnet_float
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 416, 416]Completion Time
1/11/2026, 7:21:26 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
11.1 ms
Estimated Peak Memory Usage
1 ‑ 252 MB
Compute Units
NPU
360
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.05 s | 908‑916 MB |
Subsequent App Load | 155 ms | 154‑410 MB |
Inference | 11.1 ms | 1‑252 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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