Samsung Galaxy S22
Geekbench AI Score
1477
Single Precision Score
1442
Half Precision Score
2306
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:19 AM |
| Views | 3 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
1330
247.4 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2180
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
5020
5.95 IPS |
|
|
Object Detection (SP)
|
98% |
1182
94.1 IPS |
|
|
Object Detection (HP)
|
98% |
1081
86.0 IPS |
|
|
Object Detection (Q)
|
83% |
1831
147.9 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
4156
49.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2458
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4230
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5105
6.63 IPS |
|
|
Style Transfer (HP)
|
89% |
5136
6.67 IPS |
|
|
Style Transfer (Q)
|
98% |
8967
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2130
78.9 IPS |
|
|
Text Classification (SP)
|
100% |
411
548.9 IPS |
|
|
Text Classification (HP)
|
99% |
411
548.9 IPS |
|
|
Text Classification (Q)
|
88% |
711
958.7 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
422
15.0 IPS |
