Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
247
Single Precision Score
249
Half Precision Score
584
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | February 28 2026 11:29 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
152
28.3 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
99% |
392
73.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
399
6.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
980
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
151
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
431
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
842
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
311
2.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
751
6.82 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1532
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.7 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.5 IPS |
|
|
Text Classification (Q)
|
91% |
385
517.2 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
