Profile Job Results
Jobs
jgkeo3xwg
Results Ready
Name
foot_track_net_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, 480, 640, 3]Completion Time
11/26/2024, 12:56:38 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
797 μs
Estimated Peak Memory Usage
0 ‑ 22 MB
Compute Units
NPU
146
Stage | Time | Memory |
---|---|---|
First App Load | 534 ms | 67‑74 MB |
Subsequent App Load | 458 ms | 17‑68 MB |
Inference | 797 μs | 0‑22 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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