Profile Job Results
Jobs
j5w99zemp
Results Ready
Name
ffnet_54s_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
2/1/2026, 4:27:19 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.42.0.251225135753_193295
- QNN TfLite Delegate: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
38.4 ms
Estimated Peak Memory Usage
2 ‑ 5 MB
Compute Units
NPU
115
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.41 s | 354‑355 MB |
Subsequent App Load | 231 ms | 37‑389 MB |
Inference | 38.4 ms | 2‑5 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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