Samsung Galaxy S22+
Geekbench AI Score
241
Single Precision Score
238
Half Precision Score
580
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 04:34 PM |
| Views | 2 |
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% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
514
95.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
538
8.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
261
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
940
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
87% |
395
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
847
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
295
2.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
740
6.71 IPS |
|
|
Style Transfer (SP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1307
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
182
242.3 IPS |
|
|
Text Classification (HP)
|
100% |
181
242.1 IPS |
|
|
Text Classification (Q)
|
91% |
336
451.7 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
