Samsung Galaxy S20 FE 5G
Geekbench AI Score
320
Single Precision Score
318
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | monopuerco |
| Upload Date | December 25 2024 04:33 AM |
| 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-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% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
100% |
440
81.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
491
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
629
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1079
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
83% |
472
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.41 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
95% |
850
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
525
4.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1020
9.34 IPS |
|
|
Style Transfer (SP)
|
89% |
1139
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1144
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2352
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
303
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.2 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.0 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.8 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.77 IPS |
