Samsung Galaxy S20+ 5G
Geekbench AI Score
1128
Single Precision Score
1766
Half Precision Score
1638
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 04:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1015
188.7 IPS |
|
|
Image Classification (Q)
|
99% |
1126
210.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1861
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5125
5.98 IPS |
|
|
Pose Estimation (HP)
|
99% |
8865
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
8776
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (HP)
|
99% |
1066
84.6 IPS |
|
|
Object Detection (Q)
|
85% |
1018
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
3014
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2579
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3747
29.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3063
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6212
7.99 IPS |
|
|
Style Transfer (HP)
|
100% |
12064
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11979
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2221
82.3 IPS |
|
|
Text Classification (SP)
|
35% |
40
386.2 IPS |
|
|
Text Classification (HP)
|
35% |
65
595.2 IPS |
|
|
Text Classification (Q)
|
35% |
64
584.3 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
97% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
64% |
475
9.77 IPS |
