Profile Job Results
Jobs
j5mn7lrqp
Results Ready
Name
ffnet_54s_quantized
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
1/8/2025, 9:56:50 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
11.1 ms
Estimated Peak Memory Usage
1 ‑ 14 MB
Compute Units
NPU
117
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.38 s | 149‑150 MB |
Subsequent App Load | 1.26 s | 167‑169 MB |
Inference | 11.1 ms | 1‑14 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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