Samsung Galaxy S22+
Geekbench AI Score
1357
Single Precision Score
1710
Half Precision Score
2402
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 06:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S22+ |
| Model ID | samsung SM-S906U |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.4 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
99% |
1698
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1813
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2413
2.82 IPS |
|
|
Pose Estimation (HP)
|
92% |
4103
4.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
5071
5.94 IPS |
|
|
Object Detection (SP)
|
98% |
1187
94.5 IPS |
|
|
Object Detection (HP)
|
97% |
844
67.2 IPS |
|
|
Object Detection (Q)
|
85% |
1642
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
3690
44.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
644
4.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
3105
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3306
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5506
7.15 IPS |
|
|
Style Transfer (HP)
|
88% |
5270
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
10428
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2004
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2690
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.4 IPS |
|
|
Text Classification (HP)
|
100% |
720
961.4 IPS |
|
|
Text Classification (Q)
|
93% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1034
17.9 IPS |
|
|
Machine Translation (Q)
|
55% |
809
21.7 IPS |
