Profile Job Results
Jobs
jp3ezm6m5
Results Ready
Name
quicksrnetmedium_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
11/29/2025, 10:58:29 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
671 μs
Estimated Peak Memory Usage
0 ‑ 29 MB
Compute Units
NPU
19
| Stage | Time | Memory |
|---|---|---|
First App Load | 440 ms | 119‑126 MB |
Subsequent App Load | 378 ms | 47‑166 MB |
Inference | 671 μs | 0‑29 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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