Samsung Galaxy S20+ 5G - Jordan Personal Phone Samsung Galaxy S20+ 5G
Geekbench AI Score
544
Single Precision Score
835
Half Precision Score
765
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jordatech |
| Upload Date | April 14 2026 09:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U |
| 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 | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (Q)
|
99% |
560
104.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
4781
5.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
4654
5.45 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
99% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
85% |
350
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
1281
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1282
9.87 IPS |
|
|
Depth Estimation (HP)
|
98% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1545
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3192
4.10 IPS |
|
|
Style Transfer (HP)
|
100% |
6359
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6272
8.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
847
31.4 IPS |
|
|
Text Classification (SP)
|
35% |
20
194.6 IPS |
|
|
Text Classification (HP)
|
35% |
34
311.3 IPS |
|
|
Text Classification (Q)
|
35% |
33
300.1 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
97% |
283
4.89 IPS |
|
|
Machine Translation (Q)
|
64% |
222
4.55 IPS |
