Profile Job Results
Jobs
jglvo3125
Results Ready
Name
ffnet_40s_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, 3, 1024, 2048]Completion Time
11/26/2024, 1:28:09 PM
Versions
- ONNX Runtime: 1.19.2
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
5.91 ms
Estimated Peak Memory Usage
7 ‑ 113 MB
Compute Units
NPU
168
Stage | Time | Memory |
---|---|---|
First App Load | 2.44 s | 241‑249 MB |
Subsequent App Load | 158 ms | 1‑108 MB |
Inference | 5.91 ms | 7‑113 MB |
ONNX Runtime | Value |
---|---|
execution_mode | SEQUENTIAL |
intra_op_num_threads | 0 |
inter_op_num_threads | 0 |
enable_memory_pattern | false |
enable_cpu_memory_arena | false |
graph_optimization_level | ENABLE_ALL |
QNN Execution Provider | Value |
---|---|
htp_performance_mode | "burst" |
htp_graph_finalization_optimization_mode | "3" |
enable_htp_fp16_precision | "1" |
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