Samsung Galaxy S20 FE 5G
Geekbench AI Score
1076
Single Precision Score
1084
Half Precision Score
2019
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 18 2024 01:11 PM |
| Views | 6 |
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% |
534
99.3 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2277
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2198
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
3582
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
83% |
1414
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3355
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1974
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1979
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3320
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3918
5.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3907
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
8322
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1060
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2072
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.3 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
