Samsung Galaxy S22
Geekbench AI Score
179
Single Precision Score
182
Half Precision Score
450
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.3 IPS |
|
|
Image Classification (Q)
|
99% |
297
55.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
191
0.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
791
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.21 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.17 IPS |
|
|
Object Detection (Q)
|
87% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
692
8.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
574
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
435
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1077
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.1 IPS |
|
|
Text Classification (HP)
|
100% |
146
194.7 IPS |
|
|
Text Classification (Q)
|
91% |
270
363.5 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
