Samsung Galaxy S22
Geekbench AI Score
1158
Single Precision Score
1671
Half Precision Score
1285
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901B |
| 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 | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.6 IPS |
|
|
Image Classification (Q)
|
97% |
494
92.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
996
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11001
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
99% |
863
68.4 IPS |
|
|
Object Detection (Q)
|
83% |
816
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (Q)
|
97% |
3719
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3711
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5013
38.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
3762
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11471
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18583
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18159
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2413
89.4 IPS |
|
|
Text Classification (SP)
|
29% |
21
363.0 IPS |
|
|
Text Classification (HP)
|
29% |
30
511.4 IPS |
|
|
Text Classification (Q)
|
29% |
29
494.7 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
38% |
157
14.0 IPS |
