Samsung Galaxy S20 FE 5G
Geekbench AI Score
841
Single Precision Score
1380
Half Precision Score
1271
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 09:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
99% |
701
130.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1186
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
6791
7.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
6701
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
554
44.0 IPS |
|
|
Object Detection (HP)
|
99% |
869
69.0 IPS |
|
|
Object Detection (Q)
|
85% |
777
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
2639
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1847
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2832
21.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2322
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4528
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
9620
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9636
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1684
62.4 IPS |
|
|
Text Classification (SP)
|
35% |
32
311.1 IPS |
|
|
Text Classification (HP)
|
35% |
47
423.8 IPS |
|
|
Text Classification (Q)
|
35% |
46
415.4 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
97% |
674
11.7 IPS |
|
|
Machine Translation (Q)
|
64% |
560
11.5 IPS |
