Profile Job Results
Jobs
jp1ew9jkg
Results Ready
Name
gpunet_w8a8
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
10/25/2025, 11:08:16 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN TfLite Delegate: v2.39.0.250925215840_163802-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
874 μs
Estimated Peak Memory Usage
0 ‑ 35 MB
Compute Units
NPU
67
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 1.07 s | 160‑166 MB | 
| Subsequent App Load | 1.12 s | 151‑265 MB | 
| Inference | 874 μs | 0‑35 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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