Samsung Galaxy S10+
Geekbench AI Score
195
Single Precision Score
193
Half Precision Score
408
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 27 2025 04:31 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% |
123
22.9 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
247
46.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
977
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.59 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (Q)
|
87% |
260
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (HP)
|
100% |
239
2.85 IPS |
|
|
Face Detection (Q)
|
97% |
451
5.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
267
2.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
659
5.98 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
385
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
974
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
121
4.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.3 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.1 IPS |
|
|
Text Classification (Q)
|
91% |
290
390.1 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.62 IPS |
