Samsung Galaxy S20
Geekbench AI Score
966
Single Precision Score
917
Half Precision Score
1797
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 16 2025 09:32 PM |
| Views | 1 |
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-G981B |
| 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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
100% |
1383
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1451
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3547
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1222
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
3069
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1531
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1491
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3183
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3759
4.88 IPS |
|
|
Style Transfer (HP)
|
89% |
3724
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
7673
9.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1912
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.2 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
88% |
703
948.6 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
402
14.3 IPS |
