Samsung Galaxy S10+
Geekbench AI Score
213
Single Precision Score
211
Half Precision Score
484
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 28 2025 01:21 AM |
| Views | 5 |
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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.9 IPS |
|
|
Image Classification (Q)
|
99% |
242
45.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
351
5.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
983
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
392
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
683
8.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
238
1.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
508
4.61 IPS |
|
|
Style Transfer (SP)
|
100% |
496
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1172
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
563
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.6 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.1 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.73 IPS |
