Profile Job Results
Jobs
j5mn2qxyp
Results Ready
Name
ffnet_54s_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
1/21/2025, 5:56:12 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
44.9 ms
Estimated Peak Memory Usage
1 ‑ 38 MB
Compute Units
NPU
117
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.96 s | 244‑255 MB |
Subsequent App Load | 1.95 s | 230‑277 MB |
Inference | 44.9 ms | 1‑38 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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