Samsung Galaxy S20 Ultra
Geekbench AI Score
952
Single Precision Score
955
Half Precision Score
1818
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra |
| Model ID | samsung SM-G988B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 10.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1521
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3616
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
1282
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
3082
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1416
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3154
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3795
4.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3765
4.89 IPS |
|
|
Style Transfer (Q)
|
98% |
7773
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
415
554.4 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.3 IPS |
|
|
Text Classification (Q)
|
88% |
730
984.0 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
