Samsung Galaxy S10
Geekbench AI Score
770
Single Precision Score
1250
Half Precision Score
1017
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 9820 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S10 |
| Model ID | samsung SM-G973F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
97% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1315
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3390
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
6226
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
99% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
83% |
652
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
2803
33.3 IPS |
|
|
Face Detection (Q)
|
96% |
2519
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1615
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3082
23.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2401
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4803
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
9371
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9997
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.7 IPS |
|
|
Text Classification (SP)
|
35% |
26
235.8 IPS |
|
|
Text Classification (HP)
|
29% |
21
363.3 IPS |
|
|
Text Classification (Q)
|
29% |
21
358.2 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
43% |
152
8.84 IPS |
