Samsung Galaxy S10+
Geekbench AI Score
300
Single Precision Score
303
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 01:54 AM |
| Views | 4 |
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% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.4 IPS |
|
|
Image Classification (Q)
|
100% |
457
85.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1184
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
394
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
95% |
833
9.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
64% |
973
8.91 IPS |
|
|
Style Transfer (SP)
|
89% |
1082
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1071
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2439
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.9 IPS |
|
|
Text Classification (HP)
|
100% |
151
202.1 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
