Profile Job Results
Jobs
jp4w1on2g
Results Ready
Name
bisenet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]Completion Time
2/22/2026, 11:51:40 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
12.0 ms
Estimated Peak Memory Usage
8 ‑ 205 MB
Compute Units
NPU
69
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.54 s | 156‑158 MB |
Subsequent App Load | 207 ms | 14‑212 MB |
Inference | 12.0 ms | 8‑205 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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