Samsung Galaxy S10+
Geekbench AI Score
341
Single Precision Score
412
Half Precision Score
616
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 08:16 PM |
| Views | 4 |
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% |
399
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
97% |
1099
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10493
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
85% |
1138
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
2984
35.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
283
2.18 IPS |
|
|
Depth Estimation (Q)
|
22% |
221
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3458
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3913
145.0 IPS |
|
|
Text Classification (SP)
|
71% |
7
9.90 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.6 IPS |
|
|
Text Classification (Q)
|
93% |
65
86.6 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.29 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (Q)
|
0
|
