Profile Job Results
Jobs
jp4vd0olp
Results Ready
Name
bisenet_float
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 720, 960, 3]Completion Time
10/26/2025, 1:01:35 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
23.4 ms
Estimated Peak Memory Usage
31 ‑ 72 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.25 s | 414‑421 MB |
Subsequent App Load | 1.19 s | 356‑474 MB |
Inference | 23.4 ms | 31‑72 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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