samsung SM-F9160
Geekbench ML Score
1457
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 25 2024 09:51 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1027
110.1 IPS |
|
|
Image Classification (F16)
|
100% |
1617
173.3 IPS |
|
|
Image Classification (I8)
|
80% |
1416
151.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2507
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4140
25.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
4406
27.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1302
5.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2229
9.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
2221
8.99 IPS |
|
|
Object Detection (F32)
|
100% |
961
33.7 IPS |
|
|
Object Detection (F16)
|
99% |
1225
43.0 IPS |
|
|
Object Detection (I8)
|
53% |
1173
41.1 IPS |
|
|
Face Detection (F32)
|
100% |
1842
21.2 IPS |
|
|
Face Detection (F16)
|
97% |
3134
36.0 IPS |
|
|
Face Detection (I8)
|
76% |
2765
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
495
196.0 IPS |
|
|
Text Classification (F16)
|
98% |
530
209.6 IPS |
|
|
Machine Translation (F32)
|
100% |
566
87.3 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.2 IPS |
