Samsung Galaxy S10+
Geekbench AI Score
343
Single Precision Score
417
Half Precision Score
613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 26 2025 03:22 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.8 IPS |
|
|
Image Classification (Q)
|
97% |
1072
200.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1247
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10439
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
1148
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.27 IPS |
|
|
Face Detection (Q)
|
97% |
2960
35.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
286
2.20 IPS |
|
|
Depth Estimation (Q)
|
22% |
221
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3377
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1328
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4019
148.9 IPS |
|
|
Text Classification (SP)
|
71% |
7
10.3 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.7 IPS |
|
|
Text Classification (Q)
|
93% |
64
85.9 IPS |
|
|
Machine Translation (SP)
|
100% |
192
3.31 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
0
|
