Samsung Galaxy S22 Ultra
Geekbench AI Score
1391
Single Precision Score
1359
Half Precision Score
1927
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | VenomF5 |
| Upload Date | July 25 2025 12:43 AM |
| Views | 4 |
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-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% |
1204
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
984
183.0 IPS |
|
|
Image Classification (Q)
|
100% |
1349
250.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
4186
4.97 IPS |
|
|
Object Detection (SP)
|
98% |
1060
84.3 IPS |
|
|
Object Detection (HP)
|
98% |
1060
84.3 IPS |
|
|
Object Detection (Q)
|
83% |
1293
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2007
23.9 IPS |
|
|
Face Detection (Q)
|
95% |
2962
35.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2301
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2293
17.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3325
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4585
5.95 IPS |
|
|
Style Transfer (HP)
|
89% |
4569
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8776
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2145
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
425
566.9 IPS |
|
|
Text Classification (HP)
|
99% |
417
556.1 IPS |
|
|
Text Classification (Q)
|
88% |
733
989.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
