Samsung Galaxy S20 FE 5G
Geekbench AI Score
301
Single Precision Score
446
Half Precision Score
1002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
369
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
97% |
692
129.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
797
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5298
6.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
11375
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1317
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
3410
40.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
313
2.41 IPS |
|
|
Depth Estimation (Q)
|
22% |
238
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3245
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4624
171.4 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.65 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.6 IPS |
|
|
Text Classification (Q)
|
93% |
69
92.7 IPS |
|
|
Machine Translation (SP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
54% |
147
4.14 IPS |
