Samsung Galaxy S22 Ultra
Geekbench AI Score
1245
Single Precision Score
2116
Half Precision Score
1907
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
932
173.4 IPS |
|
|
Image Classification (HP)
|
100% |
1431
266.1 IPS |
|
|
Image Classification (Q)
|
99% |
1258
234.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2171
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
11485
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
11239
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
99% |
1156
91.7 IPS |
|
|
Object Detection (Q)
|
85% |
1075
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (Q)
|
97% |
4246
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5389
41.7 IPS |
|
|
Depth Estimation (Q)
|
65% |
4475
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6919
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
14126
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13449
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2789
103.3 IPS |
|
|
Text Classification (SP)
|
35% |
45
442.1 IPS |
|
|
Text Classification (HP)
|
35% |
65
592.0 IPS |
|
|
Text Classification (Q)
|
35% |
64
578.6 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
97% |
556
9.62 IPS |
|
|
Machine Translation (Q)
|
64% |
423
8.70 IPS |
