Samsung Galaxy S20+ 5G
Geekbench AI Score
737
Single Precision Score
1196
Half Precision Score
1106
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.5 IPS |
|
|
Image Classification (Q)
|
99% |
673
125.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3442
4.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
6098
7.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
6015
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
85% |
701
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2284
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2487
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2065
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3987
5.13 IPS |
|
|
Style Transfer (HP)
|
100% |
8744
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8696
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1444
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
35% |
23
219.6 IPS |
|
|
Text Classification (HP)
|
35% |
35
320.5 IPS |
|
|
Text Classification (Q)
|
35% |
38
347.8 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.00 IPS |
|
|
Machine Translation (HP)
|
97% |
495
8.55 IPS |
|
|
Machine Translation (Q)
|
64% |
372
7.65 IPS |
