Samsung Galaxy S20+
Geekbench AI Score
1008
Single Precision Score
1002
Half Precision Score
1857
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Diag |
| Upload Date | August 16 2024 05:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ |
| Model ID | samsung SM-G985F |
| 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% |
514
95.6 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
100% |
1384
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
1494
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
3566
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (Q)
|
87% |
1350
108.4 IPS |
|
|
Face Detection (SP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
95% |
3056
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
1830
14.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
3632
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3919
5.09 IPS |
|
|
Style Transfer (HP)
|
89% |
3959
5.14 IPS |
|
|
Style Transfer (Q)
|
98% |
7777
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1910
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.6 IPS |
|
|
Text Classification (HP)
|
100% |
429
572.6 IPS |
|
|
Text Classification (Q)
|
88% |
720
971.0 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
