samsung SM-F9160
Geekbench ML Score
777
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 25 2024 09:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-F9160 |
| Model ID | samsung SM-F9160 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
708
75.8 IPS |
|
|
Image Classification (F16)
|
100% |
1077
115.3 IPS |
|
|
Image Classification (I8)
|
80% |
1310
140.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
898
5.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
6.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
2819
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
1670
6.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
5465
22.1 IPS |
|
|
Object Detection (F32)
|
100% |
795
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
1170
41.1 IPS |
|
|
Object Detection (I8)
|
52% |
2171
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
1058
12.2 IPS |
|
|
Face Detection (F16)
|
97% |
1300
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
4046
46.5 IPS |
|
|
Text Classification (F32)
|
54% |
14
5.39 IPS |
|
|
Text Classification (F16)
|
54% |
14
5.46 IPS |
|
|
Machine Translation (F32)
|
100% |
564
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.2 IPS |
