Samsung Galaxy S22
Geekbench AI Score
1727
Single Precision Score
1698
Half Precision Score
2669
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | PorywaczPiotrus |
| Upload Date | January 07 2026 07:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1428
265.5 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
2014
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2172
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2532
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2498
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
5363
6.36 IPS |
|
|
Object Detection (SP)
|
98% |
1271
101.1 IPS |
|
|
Object Detection (HP)
|
98% |
1229
97.8 IPS |
|
|
Object Detection (Q)
|
83% |
1790
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
4326
51.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2749
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2752
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4225
38.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5384
6.99 IPS |
|
|
Style Transfer (HP)
|
89% |
5470
7.10 IPS |
|
|
Style Transfer (Q)
|
98% |
11266
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2909
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.5 IPS |
|
|
Text Classification (HP)
|
99% |
596
795.4 IPS |
|
|
Text Classification (Q)
|
88% |
1121
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
652
23.1 IPS |
