Samsung Galaxy S20 FE 5G
Geekbench AI Score
861
Single Precision Score
758
Half Precision Score
1434
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:37 AM |
| Views | 1 |
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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
100% |
1508
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2196
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
3554
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
3335
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1776
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1875
14.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3273
30.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3905
5.07 IPS |
|
|
Style Transfer (HP)
|
89% |
3941
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
8088
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
652
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.7 IPS |
|
|
Text Classification (Q)
|
88% |
284
383.3 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.97 IPS |
