Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
210
Single Precision Score
177
Half Precision Score
773
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | February 28 2026 10:45 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra 5G |
| Model ID | samsung SM-G988N |
| 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% |
339
63.0 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (Q)
|
97% |
654
122.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
42
0.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
570
9.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1399
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
11107
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
301
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
34
2.73 IPS |
|
|
Object Detection (Q)
|
85% |
1149
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
2938
35.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
179
1.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
80
0.62 IPS |
|
|
Depth Estimation (Q)
|
22% |
226
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
238
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
143
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
975
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4726
175.1 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.50 IPS |
|
|
Text Classification (HP)
|
100% |
53
70.6 IPS |
|
|
Text Classification (Q)
|
93% |
80
106.9 IPS |
|
|
Machine Translation (SP)
|
100% |
70
1.20 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.56 IPS |
|
|
Machine Translation (Q)
|
54% |
66
1.86 IPS |
