Profile Job Results
Jobs
jg9lrq1vg
Results Ready
Name
ffnet_40s_quantized
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
1/8/2025, 9:58:31 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
11.5 ms
Estimated Peak Memory Usage
1 ‑ 10 MB
Compute Units
NPU
96
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.19 s | 122‑124 MB |
Subsequent App Load | 1.11 s | 129‑132 MB |
Inference | 11.5 ms | 1‑10 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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