Profile Job Results
Jobs
jpvvrj27p
Results Ready
Name
ffnet_40s_float
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
10/26/2025, 4:41:46 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: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
23.7 ms
Estimated Peak Memory Usage
2 ‑ 61 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.63 s | 212‑221 MB |
Subsequent App Load | 1.64 s | 172‑306 MB |
Inference | 23.7 ms | 2‑61 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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