Samsung Galaxy S20+ 5G
Geekbench AI Score
952
Single Precision Score
1276
Half Precision Score
1096
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2025 10:23 AM |
| Views | 6 |
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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1027
190.9 IPS |
|
|
Image Classification (Q)
|
99% |
374
69.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1109
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4392
5.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
6065
7.08 IPS |
|
|
Pose Estimation (Q)
|
97% |
5782
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (HP)
|
99% |
318
25.2 IPS |
|
|
Object Detection (Q)
|
85% |
343
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2494
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1954
15.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1586
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5993
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
11847
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11909
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2343
86.8 IPS |
|
|
Text Classification (SP)
|
35% |
45
441.1 IPS |
|
|
Text Classification (HP)
|
35% |
74
675.6 IPS |
|
|
Text Classification (Q)
|
35% |
73
661.3 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
954
16.5 IPS |
|
|
Machine Translation (Q)
|
64% |
720
14.8 IPS |
