Samsung Galaxy S20 FE 5G
Geekbench AI Score
260
Single Precision Score
395
Half Precision Score
407
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (Q)
|
97% |
285
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
980
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
89% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
608
7.22 IPS |
|
|
Face Detection (HP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.50 IPS |
|
|
Depth Estimation (Q)
|
62% |
897
8.49 IPS |
|
|
Style Transfer (SP)
|
100% |
1110
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
2813
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2797
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
459
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
52
69.2 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.5 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.1 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
