Samsung Galaxy S10+
Geekbench AI Score
315
Single Precision Score
309
Half Precision Score
609
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 03:08 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% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
100% |
457
85.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
492
7.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1109
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
462
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.31 IPS |
|
|
Face Detection (Q)
|
95% |
906
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
516
3.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
527
4.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
975
8.93 IPS |
|
|
Style Transfer (SP)
|
89% |
1115
1.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1100
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2490
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.8 IPS |
|
|
Text Classification (Q)
|
88% |
270
363.7 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
50% |
167
5.91 IPS |
