Samsung Galaxy S20 FE 5G
Geekbench AI Score
811
Single Precision Score
806
Half Precision Score
1529
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 08:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G780G |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2022
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3353
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
461
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
1324
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (Q)
|
95% |
3162
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1734
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2986
27.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3629
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3738
4.85 IPS |
|
|
Style Transfer (Q)
|
98% |
7682
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1915
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.7 IPS |
|
|
Text Classification (HP)
|
100% |
173
230.7 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.0 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
