Profile Job Results
Jobs
j5mzx6nyp
Results Ready
Name
ffnet_40s_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
1/11/2026, 4:20:58 AM
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
51.9 ms
Estimated Peak Memory Usage
2 ‑ 185 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.38 s | 268‑274 MB |
Subsequent App Load | 185 ms | 28‑212 MB |
Inference | 51.9 ms | 2‑185 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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