Samsung Galaxy S22
Geekbench AI Score
183
Single Precision Score
184
Half Precision Score
453
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 06:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901B |
| 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% |
106
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
99% |
299
55.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
316
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
193
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
777
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.26 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.28 IPS |
|
|
Object Detection (Q)
|
87% |
332
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
97% |
692
8.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
620
5.63 IPS |
|
|
Style Transfer (SP)
|
100% |
442
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1250
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
118
4.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
446
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
148
196.9 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.0 IPS |
|
|
Text Classification (Q)
|
91% |
271
364.6 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.68 IPS |
