Profile Job Results
Jobs
jp149n3np
Results Ready
Name
ffnet_40s
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
1/8/2025, 7:03:00 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
29.7 ms
Estimated Peak Memory Usage
2 ‑ 49 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.43 s | 468‑475 MB |
Subsequent App Load | 2.47 s | 502‑647 MB |
Inference | 29.7 ms | 2‑49 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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