Samsung Galaxy S20 Ultra
Geekbench AI Score
841
Single Precision Score
802
Half Precision Score
1323
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:38 AM |
| Views | 2 |
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 | 14.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1313
244.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1396
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2214
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3479
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
947
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
735
8.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
1599
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
661
5.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
2695
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3039
3.94 IPS |
|
|
Style Transfer (HP)
|
89% |
3036
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
6787
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1679
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
370
493.6 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.8 IPS |
|
|
Text Classification (Q)
|
88% |
363
489.7 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
