Profile Job Results
Jobs
jg9wev7mp
Results Ready
Name
quicksrnetsmall_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
1/10/2026, 11:34:38 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN TfLite Delegate: v2.41.0.251128145156_191518-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
1.62 ms
Estimated Peak Memory Usage
0 ‑ 120 MB
Compute Units
NPU
13
| Stage | Time | Memory |
|---|---|---|
First App Load | 874 ms | 116‑121 MB |
Subsequent App Load | 126 ms | 0‑120 MB |
Inference | 1.62 ms | 0‑120 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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