Samsung Galaxy S22 Ultra
Geekbench AI Score
1439
Single Precision Score
1448
Half Precision Score
2251
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | September 06 2025 03:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (Q)
|
100% |
1942
361.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2130
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2202
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2138
2.49 IPS |
|
|
Pose Estimation (Q)
|
84% |
3611
4.28 IPS |
|
|
Object Detection (SP)
|
98% |
736
58.6 IPS |
|
|
Object Detection (HP)
|
98% |
986
78.5 IPS |
|
|
Object Detection (Q)
|
83% |
1589
128.4 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (Q)
|
95% |
3852
46.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2308
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2282
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3904
35.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5077
6.59 IPS |
|
|
Style Transfer (HP)
|
89% |
5001
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
10383
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2467
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
494
658.9 IPS |
|
|
Text Classification (HP)
|
99% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
88% |
832
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.6 IPS |
