Samsung Galaxy S22+
Geekbench AI Score
182
Single Precision Score
182
Half Precision Score
441
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 08:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
105
19.5 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
99% |
296
55.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
315
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
752
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.22 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.23 IPS |
|
|
Object Detection (Q)
|
87% |
319
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
296
3.51 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
97% |
687
8.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
248
1.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
609
5.53 IPS |
|
|
Style Transfer (SP)
|
100% |
439
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1112
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
117
4.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
434
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.6 IPS |
|
|
Text Classification (HP)
|
100% |
146
195.1 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.8 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.66 IPS |
