Samsung Galaxy S22
Geekbench AI Score
1080
Single Precision Score
2007
Half Precision Score
1654
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 07 2026 07:36 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (Q)
|
100% |
951
176.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1896
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4500
5.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
9243
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9096
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
99% |
871
69.1 IPS |
|
|
Object Detection (Q)
|
85% |
862
69.4 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
3543
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2812
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4669
36.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
3753
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8767
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16056
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15910
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3035
112.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2878
106.6 IPS |
|
|
Text Classification (SP)
|
29% |
29
495.5 IPS |
|
|
Text Classification (HP)
|
35% |
76
690.0 IPS |
|
|
Text Classification (Q)
|
33% |
47
559.4 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
48% |
380
14.6 IPS |
