Samsung Galaxy S20 FE 5G
Geekbench AI Score
312
Single Precision Score
310
Half Precision Score
605
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 31 2026 02:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
185
34.5 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
100% |
482
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
505
8.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
616
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1086
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
405
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
95% |
828
9.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1057
9.68 IPS |
|
|
Style Transfer (SP)
|
89% |
1108
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1130
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2485
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.4 IPS |
|
|
Text Classification (Q)
|
88% |
281
379.0 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
50% |
160
5.69 IPS |
