Samsung Galaxy S10+
Geekbench AI Score
356
Single Precision Score
435
Half Precision Score
621
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 08:05 PM |
| Views | 2 |
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
73.7 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (Q)
|
97% |
1100
205.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10486
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
85% |
1168
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
3008
35.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
306
2.36 IPS |
|
|
Depth Estimation (Q)
|
22% |
228
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
723
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3269
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4078
151.1 IPS |
|
|
Text Classification (SP)
|
71% |
7
10.2 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.3 IPS |
|
|
Text Classification (Q)
|
93% |
66
88.3 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (Q)
|
0
|
