Samsung Galaxy S20 FE 5G
Geekbench AI Score
892
Single Precision Score
890
Half Precision Score
1649
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | monopuerco |
| Upload Date | December 24 2024 07:28 PM |
| 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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.0 IPS |
|
|
Image Classification (Q)
|
100% |
1490
277.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1699
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
3827
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
1459
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
95% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1929
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1818
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3491
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4230
5.49 IPS |
|
|
Style Transfer (HP)
|
89% |
4173
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
8818
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (HP)
|
100% |
175
234.1 IPS |
|
|
Text Classification (Q)
|
88% |
282
379.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
169
6.01 IPS |
