Samsung Galaxy S10+
Geekbench AI Score
304
Single Precision Score
302
Half Precision Score
581
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 23 2025 12:41 AM |
| Views | 3 |
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% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
450
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
496
8.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1174
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (Q)
|
83% |
373
30.1 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
95% |
819
9.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
515
3.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
978
8.96 IPS |
|
|
Style Transfer (SP)
|
89% |
1113
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1083
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2460
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.8 IPS |
|
|
Text Classification (HP)
|
100% |
141
187.6 IPS |
|
|
Text Classification (Q)
|
88% |
246
331.7 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.54 IPS |
