Samsung Galaxy S10+
Geekbench AI Score
306
Single Precision Score
307
Half Precision Score
591
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 25 2025 05:22 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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.1 IPS |
|
|
Image Classification (Q)
|
100% |
451
83.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1052
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
438
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
95% |
875
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
994
9.10 IPS |
|
|
Style Transfer (SP)
|
89% |
1127
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1123
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2476
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.1 IPS |
|
|
Text Classification (Q)
|
88% |
258
347.8 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.30 IPS |
