Samsung Galaxy S22 Ultra
Geekbench AI Score
1318
Single Precision Score
1325
Half Precision Score
1862
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 11:47 PM |
| 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% |
928
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.0 IPS |
|
|
Image Classification (Q)
|
100% |
1368
254.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1505
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1985
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
4198
4.98 IPS |
|
|
Object Detection (SP)
|
98% |
1049
83.5 IPS |
|
|
Object Detection (HP)
|
98% |
1043
83.0 IPS |
|
|
Object Detection (Q)
|
83% |
1403
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
2022
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (Q)
|
95% |
2820
33.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2304
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2277
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3317
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4582
5.95 IPS |
|
|
Style Transfer (HP)
|
89% |
4497
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
8379
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.8 IPS |
|
|
Text Classification (HP)
|
99% |
379
505.5 IPS |
|
|
Text Classification (Q)
|
88% |
665
896.8 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
