Samsung Galaxy S20 FE 5G
Geekbench AI Score
597
Single Precision Score
917
Half Precision Score
816
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sageriramadhan |
| Upload Date | November 16 2025 12:41 AM |
| Views | 4 |
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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
671
125.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
934
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
4892
5.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
4805
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (HP)
|
99% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
85% |
414
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1508
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1326
10.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1639
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3239
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6827
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6695
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
844
31.3 IPS |
|
|
Text Classification (SP)
|
35% |
23
222.5 IPS |
|
|
Text Classification (HP)
|
35% |
34
308.0 IPS |
|
|
Text Classification (Q)
|
35% |
33
302.4 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
97% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
64% |
230
4.73 IPS |
