Samsung Galaxy S20+ 5G
Geekbench AI Score
739
Single Precision Score
693
Half Precision Score
1256
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
501
93.2 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
100% |
1292
240.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1807
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3181
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
83% |
1157
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2951
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2404
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3489
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3246
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
7324
9.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.9 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.9 IPS |
|
|
Text Classification (Q)
|
88% |
264
355.5 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
50% |
144
5.11 IPS |
