Samsung Galaxy S10+
Geekbench AI Score
355
Single Precision Score
427
Half Precision Score
616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 03:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (Q)
|
97% |
1079
201.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1038
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10462
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
85% |
1139
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.31 IPS |
|
|
Face Detection (Q)
|
97% |
2975
35.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
447
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
286
2.20 IPS |
|
|
Depth Estimation (Q)
|
22% |
221
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3494
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3997
148.1 IPS |
|
|
Text Classification (SP)
|
71% |
8
11.4 IPS |
|
|
Text Classification (HP)
|
100% |
182
242.5 IPS |
|
|
Text Classification (Q)
|
93% |
65
87.7 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.79 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (Q)
|
0
|
