Profile Job Results
Jobs
jp8qovdqp
Results Ready
Name
foot_track_net_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 480, 640, 3]Completion Time
1/21/2025, 2:50:37 PM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
872 μs
Estimated Peak Memory Usage
1 ‑ 32 MB
Compute Units
NPU
198
Stage | Time | Memory |
---|---|---|
First App Load | 432 ms | 67‑74 MB |
Subsequent App Load | 520 ms | 14‑62 MB |
Inference | 872 μs | 1‑32 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.precision | FLOAT16 |
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