Samsung Galaxy S22+
Geekbench AI Score
1072
Single Precision Score
1481
Half Precision Score
1117
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | September 29 2025 04:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.3 IPS |
|
|
Image Classification (Q)
|
97% |
940
175.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
9791
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9414
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
99% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
83% |
798
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
2950
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2922
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3813
29.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
2454
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8185
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13150
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10537
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1704
63.2 IPS |
|
|
Text Classification (SP)
|
29% |
18
305.4 IPS |
|
|
Text Classification (HP)
|
29% |
21
362.8 IPS |
|
|
Text Classification (Q)
|
32% |
22
290.0 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
38% |
72
6.45 IPS |
