Profile Job Results
Jobs
jp0zq3025
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
1/21/2025, 5:54:51 PM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
94.0 ms
Estimated Peak Memory Usage
6 ‑ 17 MB
Compute Units
NPU
238
Stage | Time | Memory |
---|---|---|
First App Load | 244 ms | 0‑11 MB |
Subsequent App Load | 220 ms | 0‑11 MB |
Inference | 94.0 ms | 6‑17 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.precision | FLOAT16 |
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