Samsung Galaxy S20 FE 5G
Geekbench AI Score
582
Single Precision Score
895
Half Precision Score
823
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:33 AM |
| Views | 15 |
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-G781V |
| 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% |
450
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (Q)
|
99% |
654
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1067
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2840
3.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
4965
5.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
4871
5.70 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
99% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
85% |
387
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
1372
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
1953
15.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1612
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3243
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
6606
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6545
8.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
907
33.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
218.1 IPS |
|
|
Text Classification (HP)
|
35% |
35
316.7 IPS |
|
|
Text Classification (Q)
|
35% |
34
306.4 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
97% |
314
5.43 IPS |
|
|
Machine Translation (Q)
|
64% |
245
5.04 IPS |
