Samsung Galaxy S20 Ultra
Geekbench AI Score
521
Single Precision Score
881
Half Precision Score
674
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 08:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
316
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (Q)
|
97% |
445
83.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4404
5.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
4528
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
99% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
83% |
393
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1868
22.2 IPS |
|
|
Face Detection (Q)
|
96% |
1670
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1243
9.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
2212
17.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1721
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3459
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7469
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
7299
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1176
43.6 IPS |
|
|
Text Classification (SP)
|
35% |
17
155.2 IPS |
|
|
Text Classification (HP)
|
35% |
25
229.6 IPS |
|
|
Text Classification (Q)
|
29% |
12
203.5 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
43% |
90
5.25 IPS |
