Profile Job Results
Jobs
jgdxwlvep
Results Ready
Name
litehrnet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 3, 256, 192]Completion Time
1/21/2025, 2:23:16 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
7.85 ms
Estimated Peak Memory Usage
0 ‑ 15 MB
Compute Units
NPU
1233
CPU
2
Stage | Time | Memory |
---|---|---|
First App Load | 1.26 s | 92‑93 MB |
Subsequent App Load | 1.32 s | 86‑89 MB |
Inference | 7.85 ms | 0‑15 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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