Samsung Galaxy S10+
Geekbench AI Score
733
Single Precision Score
639
Half Precision Score
1239
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 02:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
371
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
100% |
858
159.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1194
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1502
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1363
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
2773
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.1 IPS |
|
|
Object Detection (Q)
|
83% |
1112
89.8 IPS |
|
|
Face Detection (SP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2631
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1520
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1256
9.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
2585
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3009
3.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3105
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
5825
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1518
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.2 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.3 IPS |
|
|
Text Classification (Q)
|
88% |
272
366.6 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
