Samsung Galaxy S20+ 5G
Geekbench AI Score
671
Single Precision Score
1008
Half Precision Score
928
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Q0AL |
| Upload Date | November 02 2025 06:30 PM |
| Views | 6 |
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-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% |
436
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.7 IPS |
|
|
Image Classification (Q)
|
99% |
630
117.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3637
4.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
6220
7.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
6138
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
99% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
85% |
451
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
1640
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2397
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1999
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4180
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
8251
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8114
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1080
40.0 IPS |
|
|
Text Classification (SP)
|
35% |
26
255.8 IPS |
|
|
Text Classification (HP)
|
35% |
42
378.1 IPS |
|
|
Text Classification (Q)
|
35% |
41
369.1 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
97% |
334
5.78 IPS |
|
|
Machine Translation (Q)
|
64% |
262
5.39 IPS |
