Profile Job Results
Jobs
j5m36jqdg
Results Ready
Name
fomm_float_FOMMDetector
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, 3, 256, 256]Completion Time
10/25/2025, 10:18:37 PM
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
3.04 ms
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
50
| Stage | Time | Memory |
|---|---|---|
First App Load | 830 ms | 156‑165 MB |
Subsequent App Load | 821 ms | 105‑200 MB |
Inference | 3.04 ms | 0‑24 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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