Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
723
Single Precision Score
1100
Half Precision Score
1012
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | February 28 2026 10:19 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
544
101.1 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
772
144.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1288
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
6318
7.37 IPS |
|
|
Pose Estimation (Q)
|
97% |
6206
7.27 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (HP)
|
99% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
85% |
502
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1931
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
1765
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2558
19.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2092
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4236
5.44 IPS |
|
|
Style Transfer (HP)
|
100% |
8439
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8511
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
35% |
26
256.5 IPS |
|
|
Text Classification (HP)
|
35% |
40
359.7 IPS |
|
|
Text Classification (Q)
|
35% |
39
350.5 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.09 IPS |
|
|
Machine Translation (HP)
|
97% |
328
5.68 IPS |
|
|
Machine Translation (Q)
|
64% |
254
5.23 IPS |
