Samsung Galaxy S22
Geekbench AI Score
1490
Single Precision Score
1443
Half Precision Score
2279
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1349
250.8 IPS |
|
|
Image Classification (Q)
|
100% |
2059
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2225
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2229
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
4784
5.67 IPS |
|
|
Object Detection (SP)
|
98% |
1132
90.1 IPS |
|
|
Object Detection (HP)
|
98% |
1147
91.3 IPS |
|
|
Object Detection (Q)
|
83% |
1774
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3812
45.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2355
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2273
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4113
37.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5045
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4910
6.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8558
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2253
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.3 IPS |
|
|
Text Classification (HP)
|
99% |
403
538.5 IPS |
|
|
Text Classification (Q)
|
88% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.6 IPS |
