Samsung Galaxy S20+
Geekbench AI Score
440
Single Precision Score
573
Half Precision Score
548
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 09:41 PM |
| Views | 8 |
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% |
354
65.8 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
527
98.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
331
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
83% |
168
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
696
5.36 IPS |
|
|
Depth Estimation (Q)
|
62% |
564
5.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
1914
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1906
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
319
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.6 IPS |
|
|
Text Classification (HP)
|
100% |
268
358.2 IPS |
|
|
Text Classification (Q)
|
91% |
480
645.4 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
57% |
379
9.26 IPS |
