Samsung Galaxy S22+
Geekbench AI Score
1193
Single Precision Score
1152
Half Precision Score
1756
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 08:22 PM |
| Views | 1 |
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-S906B |
| 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% |
910
169.2 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.0 IPS |
|
|
Image Classification (Q)
|
100% |
1218
226.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1398
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1465
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
3399
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
868
69.1 IPS |
|
|
Object Detection (HP)
|
98% |
899
71.5 IPS |
|
|
Object Detection (Q)
|
83% |
1360
109.8 IPS |
|
|
Face Detection (SP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
95% |
2974
35.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1876
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1869
14.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3249
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4505
5.85 IPS |
|
|
Style Transfer (HP)
|
89% |
4436
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
7423
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2153
79.8 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.3 IPS |
|
|
Text Classification (HP)
|
99% |
402
536.1 IPS |
|
|
Text Classification (Q)
|
88% |
753
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
