Profile Job Results
Jobs
jgdql8v65
Results Ready
Name
hrnet_pose_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, 256, 192]Completion Time
10/5/2025, 5:09:07 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
1.42 ms
Estimated Peak Memory Usage
1 ‑ 54 MB
Compute Units
NPU
749
Stage | Time | Memory |
---|---|---|
First App Load | 3.53 s | 344‑350 MB |
Subsequent App Load | 3.30 s | 252‑394 MB |
Inference | 1.42 ms | 1‑54 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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