Profile Job Results
Jobs
jgkqmojwg
Results Ready
Name
fomm_float_FOMMGenerator
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
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
10/5/2025, 7:34:03 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
24.5 ms
Estimated Peak Memory Usage
1 ‑ 774 MB
Compute Units
NPU
233
CPU
6
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.55 min | 2 GB |
Subsequent App Load | 8.11 min | 2‑3 GB |
Inference | 24.5 ms | 1‑774 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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