Profile Job Results
Jobs
jp3jkk7mg
Results Ready
Name
resnet_3d
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video
: float32[1, 3, 16, 112, 112]Completion Time
1/21/2025, 12:28:18 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
38.0 ms
Estimated Peak Memory Usage
29 ‑ 61 MB
Compute Units
NPU
50
CPU
5
Stage | Time | Memory |
---|---|---|
First App Load | 8.81 s | 1 GB |
Subsequent App Load | 8.83 s | 1 GB |
Inference | 38.0 ms | 29‑61 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 |
XNNPACK Delegate | Value |
---|
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