Samsung Galaxy S22 Ultra
Geekbench AI Score
1185
Single Precision Score
1162
Half Precision Score
1659
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 30 2025 05:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908U |
| 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% |
841
156.4 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
100% |
1160
215.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1744
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
3584
4.25 IPS |
|
|
Object Detection (SP)
|
98% |
889
70.8 IPS |
|
|
Object Detection (HP)
|
98% |
889
70.7 IPS |
|
|
Object Detection (Q)
|
83% |
1094
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (Q)
|
95% |
2563
30.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1959
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2801
25.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4012
5.21 IPS |
|
|
Style Transfer (HP)
|
89% |
4014
5.21 IPS |
|
|
Style Transfer (Q)
|
98% |
7207
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1798
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.7 IPS |
|
|
Text Classification (HP)
|
99% |
373
497.8 IPS |
|
|
Text Classification (Q)
|
88% |
674
909.1 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
430
15.3 IPS |
