Samsung Galaxy S22 Ultra
Geekbench AI Score
1256
Single Precision Score
1243
Half Precision Score
1665
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 05:04 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-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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
981
182.4 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1518
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1736
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3604
4.27 IPS |
|
|
Object Detection (SP)
|
98% |
972
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (Q)
|
83% |
1279
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (Q)
|
95% |
3012
36.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1920
14.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
1474
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4187
5.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3980
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7265
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1818
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.2 IPS |
|
|
Text Classification (HP)
|
99% |
376
502.1 IPS |
|
|
Text Classification (Q)
|
88% |
680
916.7 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
