Samsung Galaxy S20+ 5G
Geekbench AI Score
741
Single Precision Score
1214
Half Precision Score
1096
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:48 AM |
| 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% |
445
82.7 IPS |
|
|
Image Classification (HP)
|
100% |
700
130.3 IPS |
|
|
Image Classification (Q)
|
99% |
631
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1145
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3441
4.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
6106
7.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
6017
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
85% |
684
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
2584
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2280
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2494
19.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2063
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3986
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
8711
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8642
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1445
53.5 IPS |
|
|
Text Classification (SP)
|
35% |
23
226.7 IPS |
|
|
Text Classification (HP)
|
35% |
37
335.9 IPS |
|
|
Text Classification (Q)
|
35% |
36
329.0 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (HP)
|
97% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
64% |
398
8.18 IPS |
