Samsung Galaxy S10+
Geekbench AI Score
286
Single Precision Score
279
Half Precision Score
556
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10+ |
| Model ID | samsung SM-G975U |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
100% |
473
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
1032
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
83% |
405
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
346
4.11 IPS |
|
|
Face Detection (HP)
|
100% |
333
3.96 IPS |
|
|
Face Detection (Q)
|
95% |
776
9.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
896
8.20 IPS |
|
|
Style Transfer (SP)
|
89% |
1092
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1089
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2385
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.62 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
122
163.3 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.5 IPS |
|
|
Text Classification (Q)
|
88% |
202
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.26 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.46 IPS |
