Samsung Galaxy S22+
Geekbench AI Score
819
Single Precision Score
933
Half Precision Score
1024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 08:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
99% |
367
68.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1157
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
1917
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
428
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1864
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1961
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2288
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1948
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4998
6.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6572
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6643
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
901
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.6 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.1 IPS |
|
|
Text Classification (Q)
|
91% |
474
636.9 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.71 IPS |
