Profile Job Results
Jobs
jqp4ey32g
Results Ready
Name
squeezenet1_1_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
8/11/2024, 5:48:49 AM
Versions
- QNN: v2.24.0.240626131148_96320
- QNN Backend API: 5.24.0
- QNN Core API: 2.17.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
0.99 ms
Estimated Peak Memory Usage
0 - 8 MB
Compute Units
NPU
45
| Stage | Time | Memory |
|---|---|---|
First App Load | 215 ms | 1-9 MB |
Subsequent App Load | 194 ms | 1-9 MB |
Inference | 0.99 ms | 0-8 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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