Samsung Galaxy S22
Geekbench AI Score
1012
Single Precision Score
1876
Half Precision Score
1482
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
584
108.6 IPS |
|
|
Image Classification (HP)
|
100% |
1014
188.6 IPS |
|
|
Image Classification (Q)
|
100% |
934
173.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
9084
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8617
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
99% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
85% |
728
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3582
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
2964
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2632
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4624
35.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
3645
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8515
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15510
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15305
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2704
100.2 IPS |
|
|
Text Classification (SP)
|
29% |
24
408.1 IPS |
|
|
Text Classification (HP)
|
35% |
56
505.1 IPS |
|
|
Text Classification (Q)
|
32% |
37
472.8 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
48% |
309
11.9 IPS |
