Samsung Galaxy S22 Ultra
Geekbench AI Score
1374
Single Precision Score
1369
Half Precision Score
2061
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 09:24 PM |
| Views | 6 |
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% |
1026
190.7 IPS |
|
|
Image Classification (HP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (Q)
|
100% |
1711
318.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1817
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1909
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1854
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
4070
4.83 IPS |
|
|
Object Detection (SP)
|
98% |
1061
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1049
83.4 IPS |
|
|
Object Detection (Q)
|
83% |
1534
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (Q)
|
95% |
3441
41.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2191
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2107
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3250
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4430
5.75 IPS |
|
|
Style Transfer (HP)
|
89% |
4452
5.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8612
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2141
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.9 IPS |
|
|
Text Classification (HP)
|
99% |
419
558.8 IPS |
|
|
Text Classification (Q)
|
88% |
717
966.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
