Samsung Galaxy S10+
Geekbench AI Score
203
Single Precision Score
201
Half Precision Score
434
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 28 2025 02:13 AM |
| Views | 3 |
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% |
147
27.4 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.45 IPS |
|
|
Object Detection (Q)
|
87% |
279
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.75 IPS |
|
|
Face Detection (Q)
|
97% |
607
7.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
289
2.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
581
5.27 IPS |
|
|
Style Transfer (SP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1125
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
112
4.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.2 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.1 IPS |
|
|
Text Classification (Q)
|
91% |
243
326.1 IPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
