Samsung Galaxy S20 FE 5G
Geekbench AI Score
891
Single Precision Score
876
Half Precision Score
1638
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 08:13 PM |
| Views | 6 |
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% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
100% |
1495
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1707
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2402
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
3687
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
1442
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
3435
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1769
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3485
31.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4107
5.33 IPS |
|
|
Style Transfer (HP)
|
89% |
4069
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
8601
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.8 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.3 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.45 IPS |
|
|
Machine Translation (Q)
|
50% |
170
6.02 IPS |
