Profile Job Results
Jobs
j56n879ng
Results Ready
Name
efficientvit_l2_cls_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_tensor: float32[1, 224, 224, 3]Completion Time
11/30/2025, 12:23:40 AM
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
5.13 ms
Estimated Peak Memory Usage
0 ‑ 235 MB
Compute Units
NPU
349
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.85 s | 993‑1,000 MB |
Subsequent App Load | 5.82 s | 1‑2 GB |
Inference | 5.13 ms | 0‑235 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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