Profile Job Results
Jobs
jpy6oyrr5
Results Ready
Name
bisenet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
11/30/2025, 11:50:15 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN TfLite Delegate: v2.40.0.251030114326_189385-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
133 ms
Estimated Peak Memory Usage
32 ‑ 69 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.71 s | 277‑286 MB |
Subsequent App Load | 6.63 s | 262‑405 MB |
Inference | 133 ms | 32‑69 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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