Samsung Galaxy S10+
Geekbench AI Score
303
Single Precision Score
302
Half Precision Score
596
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 04:28 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% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
100% |
455
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
502
8.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
636
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1158
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.06 IPS |
|
|
Face Detection (Q)
|
95% |
834
9.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
974
8.92 IPS |
|
|
Style Transfer (SP)
|
89% |
1072
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1100
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2423
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
619
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.8 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.2 IPS |
|
|
Text Classification (Q)
|
88% |
270
364.4 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.86 IPS |
