Samsung Galaxy S22
Geekbench AI Score
1208
Single Precision Score
1228
Half Precision Score
1774
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 06:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
826
153.6 IPS |
|
|
Image Classification (HP)
|
100% |
910
169.3 IPS |
|
|
Image Classification (Q)
|
100% |
1274
237.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1875
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1800
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3470
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
873
69.5 IPS |
|
|
Object Detection (HP)
|
98% |
868
69.0 IPS |
|
|
Object Detection (Q)
|
83% |
1211
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
2871
34.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2081
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2872
26.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4355
5.65 IPS |
|
|
Style Transfer (HP)
|
89% |
4364
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7833
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.5 IPS |
|
|
Text Classification (HP)
|
99% |
409
546.2 IPS |
|
|
Text Classification (Q)
|
88% |
700
944.7 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
424
15.1 IPS |
