Samsung Galaxy S20 FE 5G
Geekbench AI Score
217
Single Precision Score
179
Half Precision Score
776
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Titus88 |
| Upload Date | February 03 2026 08:58 PM |
| Views | 6 |
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-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% |
361
67.1 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (Q)
|
97% |
588
109.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
569
9.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5214
6.08 IPS |
|
|
Pose Estimation (Q)
|
97% |
11275
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.79 IPS |
|
|
Object Detection (Q)
|
85% |
1180
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
978
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
77
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
2984
35.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
176
1.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
81
0.63 IPS |
|
|
Depth Estimation (Q)
|
22% |
232
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
224
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
137
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
965
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4667
172.9 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.60 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.9 IPS |
|
|
Text Classification (Q)
|
93% |
87
117.1 IPS |
|
|
Machine Translation (SP)
|
100% |
74
1.28 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (Q)
|
54% |
66
1.87 IPS |
