Samsung Galaxy S20 FE 5G
Geekbench AI Score
888
Single Precision Score
891
Half Precision Score
1444
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 01:07 PM |
| 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-G781N |
| 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% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
100% |
1264
235.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1447
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2129
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3257
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
83% |
1231
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (Q)
|
95% |
2929
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1804
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1782
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2973
27.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3858
5.01 IPS |
|
|
Style Transfer (HP)
|
89% |
3858
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
7678
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1798
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
485
648.0 IPS |
|
|
Text Classification (HP)
|
100% |
471
628.3 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.1 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
