Profile Job Results
Jobs
j57ym76q5
Results Ready
Name
resnet_3d
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video
: float32[1, 3, 16, 112, 112]Completion Time
1/8/2025, 4:13:08 AM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
12.3 ms
Estimated Peak Memory Usage
2 ‑ 50 MB
Compute Units
NPU
53
CPU
1
Stage | Time | Memory |
---|---|---|
First App Load | 8.10 s | 1 GB |
Subsequent App Load | 8.46 s | 1‑2 GB |
Inference | 12.3 ms | 2‑50 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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