Samsung Galaxy S22
Geekbench AI Score
1157
Single Precision Score
1246
Half Precision Score
1805
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
817
151.9 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (Q)
|
100% |
1257
233.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
3718
4.41 IPS |
|
|
Object Detection (SP)
|
98% |
727
57.9 IPS |
|
|
Object Detection (HP)
|
98% |
937
74.5 IPS |
|
|
Object Detection (Q)
|
83% |
1130
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (Q)
|
95% |
2865
34.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2104
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3122
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4278
5.55 IPS |
|
|
Style Transfer (HP)
|
89% |
4404
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
8344
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2135
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.5 IPS |
|
|
Text Classification (HP)
|
99% |
400
534.0 IPS |
|
|
Text Classification (Q)
|
88% |
738
996.0 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
