Profile Job Results
Jobs
jg93nkrlg
Results Ready
Name
ffnet_78s
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
3/14/2026, 9:12:26 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
86.0 ms
Estimated Peak Memory Usage
0 ‑ 371 MB
Compute Units
NPU
151
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.85 s | 414‑423 MB |
Subsequent App Load | 241 ms | 54‑427 MB |
Inference | 86.0 ms | 0‑371 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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