Samsung Galaxy S10+
Geekbench AI Score
307
Single Precision Score
310
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 25 2025 05:10 AM |
| Views | 5 |
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-G975U1 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
100% |
458
85.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1098
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.1 IPS |
|
|
Object Detection (Q)
|
83% |
443
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.09 IPS |
|
|
Face Detection (Q)
|
95% |
888
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
514
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
971
8.89 IPS |
|
|
Style Transfer (SP)
|
89% |
1066
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1074
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2422
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
603
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.7 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.7 IPS |
|
|
Text Classification (Q)
|
88% |
249
335.5 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
