Profile Job Results
Jobs
jgzjjz3xp
Results Ready
Name
bisenet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
7/14/2025, 1:13:54 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.07.0
Estimated Inference Time
45.0 ms
Estimated Peak Memory Usage
9 ‑ 70 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.05 s | 209‑210 MB |
Subsequent App Load | 2.02 s | 221‑223 MB |
Inference | 45.0 ms | 9‑70 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.useConvHmx | true |
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