Samsung Galaxy S20+ 5G
Geekbench AI Score
736
Single Precision Score
659
Half Precision Score
1283
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 11:46 PM |
| Views | 2 |
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% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (Q)
|
100% |
1387
257.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1571
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
3107
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1222
98.7 IPS |
|
|
Face Detection (SP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2846
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1574
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2862
26.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3455
4.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3367
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
7319
9.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (Q)
|
88% |
266
358.3 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.95 IPS |
|
|
Machine Translation (Q)
|
50% |
146
5.17 IPS |
