Samsung Galaxy S22
Geekbench AI Score
1363
Single Precision Score
1457
Half Precision Score
2123
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 09:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1050
195.2 IPS |
|
|
Image Classification (HP)
|
100% |
1055
196.2 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1673
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
4303
5.10 IPS |
|
|
Object Detection (SP)
|
98% |
925
73.6 IPS |
|
|
Object Detection (HP)
|
98% |
1109
88.3 IPS |
|
|
Object Detection (Q)
|
83% |
1350
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (Q)
|
95% |
3633
43.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2485
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3813
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5158
6.70 IPS |
|
|
Style Transfer (HP)
|
89% |
5182
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
9029
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2331
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.2 IPS |
|
|
Text Classification (HP)
|
99% |
471
628.5 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
