Samsung Galaxy S20 FE
Geekbench AI Score
965
Single Precision Score
967
Half Precision Score
1766
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE |
| Model ID | samsung SM-G780F |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
1323
246.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2098
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
3482
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1253
101.2 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
95% |
2927
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1743
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3144
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3707
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3712
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
7624
9.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
988
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1894
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.8 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.9 IPS |
|
|
Text Classification (Q)
|
88% |
650
876.3 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
