Profile Job Results
Jobs
jgz3ekzx5
Results Ready
Name
gear_guard_net_quantized
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: uint8[1, 320, 192, 3]Completion Time
1/21/2025, 2:11:25 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
3.75 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
86
Stage | Time | Memory |
---|---|---|
First App Load | 1.66 s | 68‑77 MB |
Subsequent App Load | 1.65 s | 57‑80 MB |
Inference | 3.75 ms | 0‑14 MB |
TensorFlow Lite | Value |
---|---|
number_of_threads | 4 |
QNN Delegate | Value |
---|---|
backend_type | kHtpBackend |
log_level | kLogLevelWarn |
htp_options.precision | kHtpFp16 |
htp_options.useConvHmx | true |
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