Profile Job Results
Jobs
jg9ye4wq5
Results Ready
Name
unet_segmentation_float
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 3, 640, 1280]Completion Time
10/4/2025, 8:06:56 PM
Options
--qairt_version 2.37
Versions
- ONNX Runtime: 1.22.2
- QAIRT: v2.37.1.250807093845_124904
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
79.2 ms
Estimated Peak Memory Usage
22 ‑ 152 MB
Compute Units
NPU
53
Stage | Time | Memory |
---|---|---|
First App Load | 40.1 s | 648‑654 MB |
Subsequent App Load | 41.0 s | 551‑772 MB |
Inference | 79.2 ms | 22‑152 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" |
capture_network_visualizations | false |
context_priority | "normal" |
offload_graph_io_quantization | "1" |
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