Samsung Galaxy S10+
Geekbench AI Score
232
Single Precision Score
230
Half Precision Score
500
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 28 2025 09:29 PM |
| Views | 4 |
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% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
349
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
906
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
87% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
609
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.36 IPS |
|
|
Depth Estimation (Q)
|
64% |
694
6.30 IPS |
|
|
Style Transfer (SP)
|
100% |
464
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
456
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1492
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
149
5.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (HP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.0 IPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
57% |
226
5.53 IPS |
