Samsung Galaxy S22+
Geekbench AI Score
1648
Single Precision Score
1602
Half Precision Score
2582
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 12:56 PM |
| Views | 3 |
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-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% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
100% |
1940
360.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2335
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5088
6.03 IPS |
|
|
Object Detection (SP)
|
98% |
1090
86.8 IPS |
|
|
Object Detection (HP)
|
98% |
1202
95.6 IPS |
|
|
Object Detection (Q)
|
83% |
1840
148.6 IPS |
|
|
Face Detection (SP)
|
100% |
2225
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
4061
48.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2500
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2499
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4142
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5374
6.98 IPS |
|
|
Style Transfer (HP)
|
89% |
5314
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
11057
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2823
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.1 IPS |
|
|
Text Classification (HP)
|
99% |
603
804.7 IPS |
|
|
Text Classification (Q)
|
88% |
1061
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
559
19.8 IPS |
