Profile Job Results
Jobs
j1p8k80op
Results Ready
Name
hrnet_pose_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 192, 3]Completion Time
8/27/2024, 10:48:03 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
3.88 ms
Estimated Peak Memory Usage
0 - 68 MB
Compute Units
NPU
518
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.39 s | 187-195 MB |
Subsequent App Load | 304 ms | 31-100 MB |
Inference | 3.88 ms | 0-68 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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