Profile Job Results
Jobs
jp0lmxz2p
Results Ready
Name
bisenet_w8a8
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: uint8[1, 720, 960, 3]Completion Time
11/30/2025, 3:04:42 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
7.19 ms
Estimated Peak Memory Usage
6 ‑ 48 MB
Compute Units
NPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.76 s | 305‑312 MB |
Subsequent App Load | 2.95 s | 197‑342 MB |
Inference | 7.19 ms | 6‑48 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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