Samsung Galaxy S10+
Geekbench AI Score
174
Single Precision Score
174
Half Precision Score
372
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 27 2025 05:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
99% |
249
46.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
251
4.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
637
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.39 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.45 IPS |
|
|
Object Detection (Q)
|
87% |
280
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.25 IPS |
|
|
Face Detection (Q)
|
97% |
534
6.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
524
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
974
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
97
3.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
364
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.6 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (Q)
|
91% |
242
325.9 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
192
4.70 IPS |
