Samsung Galaxy S10+
Geekbench AI Score
198
Single Precision Score
200
Half Precision Score
433
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 28 2025 02:34 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
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
343
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
311
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.35 IPS |
|
|
Object Detection (HP)
|
100% |
115
9.11 IPS |
|
|
Object Detection (Q)
|
87% |
317
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
318
3.78 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
706
8.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
298
2.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
277
2.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
557
5.06 IPS |
|
|
Style Transfer (SP)
|
100% |
356
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1124
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% |
156
208.5 IPS |
|
|
Text Classification (Q)
|
91% |
243
326.2 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
57% |
230
5.63 IPS |
