Profile Job Results
Jobs
jp4vy911p
Results Ready
Name
fomm_float_FOMMGenerator
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: float32[1, 3, 256, 256]source_keypoint_values: float32[1, 10, 2]source_keypoint_jacobians: float32[1, 10, 2, 2]kp_norm_values: float32[1, 10, 2]kp_norm_jacobians: float32[1, 10, 2, 2]Completion Time
11/30/2025, 8:11:10 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: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
31.3 ms
Estimated Peak Memory Usage
0 ‑ 762 MB
Compute Units
NPU
233
CPU
6
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.48 min | 1 GB |
Subsequent App Load | 3.85 min | 1‑2 GB |
Inference | 31.3 ms | 0‑762 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 |
|---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device