Samsung Galaxy S10+
Geekbench AI Score
311
Single Precision Score
310
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 24 2025 01:54 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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
100% |
457
85.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
495
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1110
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
95% |
859
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
531
4.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
935
8.57 IPS |
|
|
Style Transfer (SP)
|
89% |
1111
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1079
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2483
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (HP)
|
100% |
152
202.6 IPS |
|
|
Text Classification (Q)
|
88% |
266
359.1 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (Q)
|
50% |
164
5.82 IPS |
