Samsung Galaxy S22
Geekbench AI Score
283
Single Precision Score
271
Half Precision Score
684
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2200 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
513
95.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1277
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
488
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
97% |
961
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
392
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
392
3.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1028
9.33 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1725
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
648
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
218
290.5 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.9 IPS |
|
|
Text Classification (Q)
|
91% |
404
543.2 IPS |
|
|
Machine Translation (SP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
