Samsung Galaxy S20+ 5G
Geekbench AI Score
1045
Single Precision Score
1030
Half Precision Score
1917
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G9860 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.7 IPS |
|
|
Image Classification (Q)
|
100% |
1466
272.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3471
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1370
110.7 IPS |
|
|
Face Detection (SP)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
3325
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1878
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3137
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3689
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3631
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
7975
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1946
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.2 IPS |
|
|
Text Classification (HP)
|
100% |
544
725.9 IPS |
|
|
Text Classification (Q)
|
88% |
821
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
428
15.2 IPS |
