Profile Job Results
Jobs
jpyj0n1lp
Results Ready
Name
mobilenet_v3_large_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: float32[1, 224, 224, 3]Completion Time
10/4/2025, 11:53:49 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
932 μs
Estimated Peak Memory Usage
0 ‑ 72 MB
Compute Units
NPU
145
Stage | Time | Memory |
---|---|---|
First App Load | 850 ms | 182‑183 MB |
Subsequent App Load | 844 ms | 167‑169 MB |
Inference | 932 μs | 0‑72 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
default_graph_options.htp_options.optimizations[0].value | 3.0 |
default_graph_options.htp_options.precision | FLOAT16 |
default_graph_options.htp_options.vtcm_size | 0 |
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