Profile Job Results
Jobs
j5m3670yg
Results Ready
Name
gpunet_float
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/26/2025, 1:36:15 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
690 μs
Estimated Peak Memory Usage
0 ‑ 57 MB
Compute Units
NPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 828 ms | 155‑164 MB |
Subsequent App Load | 825 ms | 103‑230 MB |
Inference | 690 μs | 0‑57 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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