Samsung Galaxy S20 FE 5G
Geekbench AI Score
211
Single Precision Score
208
Half Precision Score
478
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | monopuerco |
| Upload Date | December 25 2024 04:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
154
28.6 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
406
6.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
261
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
980
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
433
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
849
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
614
5.57 IPS |
|
|
Style Transfer (SP)
|
100% |
376
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
352
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1021
1.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.4 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.2 IPS |
|
|
Text Classification (Q)
|
91% |
236
317.3 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
57% |
200
4.88 IPS |
