Samsung Galaxy S20 FE 5G
Geekbench AI Score
372
Single Precision Score
506
Half Precision Score
1346
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | monopuerco |
| Upload Date | December 25 2024 03:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781U |
| 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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
97% |
1178
219.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1140
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (Q)
|
97% |
11653
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
85% |
1393
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1279
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
3929
46.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
491
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.40 IPS |
|
|
Depth Estimation (Q)
|
22% |
237
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
511
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3948
5.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5022
186.1 IPS |
|
|
Text Classification (SP)
|
71% |
4
6.51 IPS |
|
|
Text Classification (HP)
|
100% |
225
299.7 IPS |
|
|
Text Classification (Q)
|
93% |
214
287.9 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
54% |
227
6.39 IPS |
