Samsung Galaxy S22+
Geekbench AI Score
865
Single Precision Score
728
Half Precision Score
757
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:07 PM |
| Views | 1 |
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-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% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
99% |
237
44.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1747
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1050
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1030
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.5 IPS |
|
|
Object Detection (Q)
|
86% |
405
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1593
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1974
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1092
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5109
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3271
4.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3277
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
657
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.6 IPS |
|
|
Text Classification (HP)
|
100% |
236
314.8 IPS |
|
|
Text Classification (Q)
|
91% |
467
627.1 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
57% |
360
8.79 IPS |
