Profile Job Results
Jobs
jprvo1e0g
Results Ready
Name
quicksrnetlarge_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, 128, 128, 3]Completion Time
11/26/2024, 4:27:51 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
1.11 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
30
CPU
3
Stage | Time | Memory |
---|---|---|
First App Load | 278 ms | 35‑42 MB |
Subsequent App Load | 327 ms | 9‑38 MB |
Inference | 1.11 ms | 0‑14 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 |
XNNPACK Delegate | Value |
---|
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