Samsung Galaxy S22 Ultra
Geekbench AI Score
1247
Single Precision Score
1226
Half Precision Score
1874
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 03:40 AM |
| Views | 2 |
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 Ultra |
| Model ID | samsung SM-S908U1 |
| 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (Q)
|
100% |
1656
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1551
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1620
1.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
3397
4.03 IPS |
|
|
Object Detection (SP)
|
98% |
943
75.1 IPS |
|
|
Object Detection (HP)
|
98% |
934
74.3 IPS |
|
|
Object Detection (Q)
|
83% |
1349
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
95% |
2917
34.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1788
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3207
29.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3972
5.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3817
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
7872
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
408
545.0 IPS |
|
|
Text Classification (HP)
|
99% |
409
546.0 IPS |
|
|
Text Classification (Q)
|
88% |
691
931.4 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
