Samsung Galaxy S20+ 5G
Geekbench AI Score
617
Single Precision Score
931
Half Precision Score
833
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G9860 |
| 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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.7 IPS |
|
|
Image Classification (Q)
|
99% |
562
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
6250
7.29 IPS |
|
|
Pose Estimation (Q)
|
97% |
6185
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.5 IPS |
|
|
Object Detection (HP)
|
99% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
85% |
468
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1667
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2447
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1564
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3200
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
6551
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
6419
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
887
32.9 IPS |
|
|
Text Classification (SP)
|
35% |
21
204.8 IPS |
|
|
Text Classification (HP)
|
35% |
33
302.4 IPS |
|
|
Text Classification (Q)
|
35% |
32
295.2 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (HP)
|
97% |
265
4.58 IPS |
|
|
Machine Translation (Q)
|
64% |
215
4.41 IPS |
