Samsung Galaxy S20 FE 5G
Geekbench AI Score
845
Single Precision Score
841
Half Precision Score
1594
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 02 2026 09:21 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% |
538
100.0 IPS |
|
|
Image Classification (HP)
|
100% |
527
97.9 IPS |
|
|
Image Classification (Q)
|
100% |
1491
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
3566
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (Q)
|
83% |
1421
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (Q)
|
95% |
3291
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3373
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3851
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3855
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8262
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2007
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.3 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.2 IPS |
|
|
Text Classification (Q)
|
88% |
283
381.5 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.65 IPS |
