Samsung Galaxy S20 FE 5G
Geekbench AI Score
560
Single Precision Score
852
Half Precision Score
785
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 08:27 PM |
| Views | 5 |
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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
99% |
566
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2830
3.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
4928
5.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
4838
5.67 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
85% |
365
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1394
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1291
9.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
1838
14.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1584
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3235
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
6530
8.39 IPS |
|
|
Style Transfer (Q)
|
98% |
6470
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
580
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
35% |
21
204.1 IPS |
|
|
Text Classification (HP)
|
35% |
34
309.3 IPS |
|
|
Text Classification (Q)
|
35% |
33
304.5 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.04 IPS |
|
|
Machine Translation (HP)
|
97% |
287
4.96 IPS |
|
|
Machine Translation (Q)
|
64% |
222
4.56 IPS |
