Samsung Galaxy S20+ 5G
Geekbench AI Score
209
Single Precision Score
176
Half Precision Score
758
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 10:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.6 IPS |
|
|
Image Classification (Q)
|
97% |
605
112.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
560
9.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
1399
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
5129
5.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
11042
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.72 IPS |
|
|
Object Detection (Q)
|
85% |
1133
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
882
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
97% |
2807
33.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
168
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
79
0.61 IPS |
|
|
Depth Estimation (Q)
|
22% |
215
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
221
0.28 IPS |
|
|
Style Transfer (HP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
964
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4656
172.5 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.55 IPS |
|
|
Text Classification (HP)
|
100% |
55
72.9 IPS |
|
|
Text Classification (Q)
|
93% |
84
113.4 IPS |
|
|
Machine Translation (SP)
|
100% |
71
1.23 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (Q)
|
54% |
65
1.83 IPS |
