Samsung Galaxy S22+
Geekbench AI Score
1614
Single Precision Score
1615
Half Precision Score
2665
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 04:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S22+ |
| Model ID | samsung SM-S906B |
| 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% |
1034
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2261
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5127
6.08 IPS |
|
|
Object Detection (SP)
|
98% |
1206
96.0 IPS |
|
|
Object Detection (HP)
|
98% |
1098
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
1855
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
4178
49.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2561
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2525
19.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4332
39.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5430
7.05 IPS |
|
|
Style Transfer (HP)
|
89% |
5494
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
11164
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2845
105.4 IPS |
|
|
Text Classification (SP)
|
100% |
578
771.1 IPS |
|
|
Text Classification (HP)
|
99% |
576
769.2 IPS |
|
|
Text Classification (Q)
|
88% |
1118
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
621
22.0 IPS |
