Samsung Galaxy S20 FE 5G
Geekbench AI Score
811
Single Precision Score
808
Half Precision Score
1546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SmartCat |
| Upload Date | March 26 2025 11:52 AM |
| Views | 3 |
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-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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.8 IPS |
|
|
Image Classification (Q)
|
100% |
1497
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3379
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
1358
109.7 IPS |
|
|
Face Detection (SP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (Q)
|
95% |
3312
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1802
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1688
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3044
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3497
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3481
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
7471
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1926
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.5 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.3 IPS |
|
|
Text Classification (Q)
|
88% |
281
379.6 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.81 IPS |
