Profile Job Results
Jobs
jpv6evvr5
Results Ready
Name
ffnet_78s_lowres
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 512, 1024, 3]Completion Time
11/26/2024, 1:08:51 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
8.15 ms
Estimated Peak Memory Usage
0 ‑ 62 MB
Compute Units
NPU
149
Stage | Time | Memory |
---|---|---|
First App Load | 2.50 s | 497‑498 MB |
Subsequent App Load | 2.49 s | 416‑580 MB |
Inference | 8.15 ms | 0‑62 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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