Profile Job Results
Jobs
jgz3ek9z5
Results Ready
Name
ffnet_54s
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 1024, 2048, 3]Completion Time
1/21/2025, 3:09:09 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
1.01 s
Estimated Peak Memory Usage
0 ‑ 46 MB
Compute Units
NPU
115
Stage | Time | Memory |
---|---|---|
First App Load | 10.2 s | 399‑409 MB |
Subsequent App Load | 10.5 s | 394‑455 MB |
Inference | 1.01 s | 0‑46 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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