Samsung Galaxy S20+
Geekbench AI Score
493
Single Precision Score
799
Half Precision Score
599
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:20 PM |
| Views | 2 |
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-G986B |
| 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 | 10.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
97% |
363
67.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
4268
5.00 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
99% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
355
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
96% |
1452
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1235
9.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
2143
16.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1689
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
7224
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7146
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1091
40.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
123.8 IPS |
|
|
Text Classification (HP)
|
35% |
17
157.4 IPS |
|
|
Text Classification (Q)
|
29% |
9
162.6 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.27 IPS |
