Samsung Galaxy S20+ 5G
Geekbench AI Score
248
Single Precision Score
250
Half Precision Score
945
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 10:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.8 IPS |
|
|
Image Classification (Q)
|
96% |
1013
189.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
1221
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
13015
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
84% |
1253
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (Q)
|
97% |
2134
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
5365
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
18294
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
597
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
229
306.0 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (Q)
|
93% |
226
303.9 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.20 IPS |
