Samsung Galaxy S10+
Geekbench AI Score
721
Single Precision Score
642
Half Precision Score
1275
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 25 2025 03:48 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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
100% |
1236
229.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
1477
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1941
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1904
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
3104
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
1201
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
1371
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2921
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1613
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2847
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3333
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3222
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
6837
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.1 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.7 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
50% |
170
6.02 IPS |
