Samsung Galaxy S20 FE 5G
Geekbench AI Score
1009
Single Precision Score
1017
Half Precision Score
1646
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 06:05 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-G780G |
| 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
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (Q)
|
100% |
1505
279.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
3829
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
83% |
1441
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
3461
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2056
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2105
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3493
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4119
5.35 IPS |
|
|
Style Transfer (HP)
|
89% |
4164
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
8880
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2110
78.2 IPS |
|
|
Text Classification (SP)
|
100% |
571
762.3 IPS |
|
|
Text Classification (HP)
|
100% |
577
770.2 IPS |
|
|
Text Classification (Q)
|
88% |
279
376.3 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
50% |
163
5.80 IPS |
