Samsung Galaxy S20 FE 5G
Geekbench AI Score
816
Single Precision Score
1331
Half Precision Score
1236
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 07:25 AM |
| Views | 1 |
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-G781B |
| 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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
99% |
655
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1160
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3819
4.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
6749
7.88 IPS |
|
|
Pose Estimation (Q)
|
97% |
6639
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
99% |
792
62.9 IPS |
|
|
Object Detection (Q)
|
85% |
747
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
1704
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2484
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1825
14.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2770
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2282
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4502
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
9539
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9470
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
35% |
28
276.0 IPS |
|
|
Text Classification (HP)
|
35% |
44
400.5 IPS |
|
|
Text Classification (Q)
|
35% |
43
390.8 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
97% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
64% |
601
12.4 IPS |
