Samsung Galaxy S20
Geekbench AI Score
930
Single Precision Score
1446
Half Precision Score
1166
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 |
| Model ID | samsung SM-G980F |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.6 IPS |
|
|
Image Classification (Q)
|
97% |
703
131.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1564
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4154
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
8153
9.56 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (HP)
|
99% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
83% |
705
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1839
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (Q)
|
96% |
2664
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2452
18.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4278
33.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
3268
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6656
8.56 IPS |
|
|
Style Transfer (HP)
|
100% |
14162
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14153
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2102
77.9 IPS |
|
|
Text Classification (SP)
|
35% |
29
263.4 IPS |
|
|
Text Classification (HP)
|
29% |
19
335.3 IPS |
|
|
Text Classification (Q)
|
29% |
19
321.8 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
43% |
150
8.70 IPS |
