Profile Job Results
Jobs
jp04jlw6g
Results Ready
Name
ffnet_78s_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
3/11/2025, 9:03:15 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
72.3 ms
Estimated Peak Memory Usage
1 ‑ 78 MB
Compute Units
NPU
153
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.48 s | 259‑266 MB |
Subsequent App Load | 3.62 s | 236‑325 MB |
Inference | 72.3 ms | 1‑78 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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