Samsung Galaxy S20+ 5G
Geekbench AI Score
1121
Single Precision Score
1812
Half Precision Score
1636
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:44 AM |
| Views | 5 |
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% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (Q)
|
99% |
1120
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5110
5.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
8865
10.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
8698
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
704
55.9 IPS |
|
|
Object Detection (HP)
|
99% |
1056
83.7 IPS |
|
|
Object Detection (Q)
|
85% |
1009
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
3047
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3736
28.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3059
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6197
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
12063
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
11973
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2221
82.3 IPS |
|
|
Text Classification (SP)
|
35% |
39
383.6 IPS |
|
|
Text Classification (HP)
|
35% |
66
603.2 IPS |
|
|
Text Classification (Q)
|
35% |
64
582.3 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
97% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
64% |
476
9.79 IPS |
