Samsung Galaxy S22 Ultra
Geekbench AI Score
1269
Single Precision Score
1257
Half Precision Score
1873
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2025 04:52 PM |
| Views | 3 |
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-S908E |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (Q)
|
100% |
1327
246.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1483
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1875
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
3907
4.63 IPS |
|
|
Object Detection (SP)
|
98% |
919
73.2 IPS |
|
|
Object Detection (HP)
|
98% |
919
73.1 IPS |
|
|
Object Detection (Q)
|
83% |
1267
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1863
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (Q)
|
95% |
2930
35.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2133
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3194
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4314
5.60 IPS |
|
|
Style Transfer (HP)
|
89% |
4169
5.41 IPS |
|
|
Style Transfer (Q)
|
98% |
8549
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2104
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
412
550.2 IPS |
|
|
Text Classification (HP)
|
99% |
410
547.5 IPS |
|
|
Text Classification (Q)
|
88% |
708
954.4 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
