Samsung Galaxy S10+
Geekbench AI Score
304
Single Precision Score
308
Half Precision Score
599
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 04:40 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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
100% |
456
84.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
636
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
638
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1102
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
465
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
95% |
866
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
534
4.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
969
8.88 IPS |
|
|
Style Transfer (SP)
|
89% |
1071
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1070
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2421
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.8 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.0 IPS |
|
|
Text Classification (Q)
|
88% |
252
339.4 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.72 IPS |
