Samsung Galaxy S22 Ultra
Geekbench AI Score
1302
Single Precision Score
1243
Half Precision Score
1933
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 04:01 PM |
| Views | 1 |
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-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% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (Q)
|
100% |
1669
310.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1658
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
3688
4.37 IPS |
|
|
Object Detection (SP)
|
98% |
924
73.6 IPS |
|
|
Object Detection (HP)
|
98% |
909
72.3 IPS |
|
|
Object Detection (Q)
|
83% |
1326
107.1 IPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
95% |
2921
34.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3131
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4239
5.50 IPS |
|
|
Style Transfer (HP)
|
89% |
3964
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8030
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2104
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.7 IPS |
|
|
Text Classification (HP)
|
99% |
425
567.5 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
