Profile Job Results
Jobs
jp8zmld8p
Results Ready
Name
ffnet_122ns_lowres_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 1024, 3]Completion Time
10/26/2025, 12:16:20 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: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
12.2 ms
Estimated Peak Memory Usage
0 ‑ 17 MB
Compute Units
NPU
218
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.07 s | 488‑489 MB |
Subsequent App Load | 3.08 s | 518‑521 MB |
Inference | 12.2 ms | 0‑17 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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