Samsung Galaxy S22 Ultra
Geekbench AI Score
1400
Single Precision Score
1399
Half Precision Score
1985
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
1191
221.5 IPS |
|
|
Image Classification (Q)
|
100% |
1733
322.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2069
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
4150
4.92 IPS |
|
|
Object Detection (SP)
|
98% |
935
74.4 IPS |
|
|
Object Detection (HP)
|
98% |
1046
83.2 IPS |
|
|
Object Detection (Q)
|
83% |
1391
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
95% |
2951
35.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2270
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2168
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3301
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4641
6.03 IPS |
|
|
Style Transfer (HP)
|
89% |
4635
6.02 IPS |
|
|
Style Transfer (Q)
|
98% |
8747
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2146
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
415
553.8 IPS |
|
|
Text Classification (HP)
|
99% |
412
549.9 IPS |
|
|
Text Classification (Q)
|
88% |
716
966.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
429
15.2 IPS |
