Samsung Galaxy S22
Geekbench AI Score
1461
Single Precision Score
1426
Half Precision Score
2115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S22 |
| Model ID | samsung SM-S901E |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.7 IPS |
|
|
Image Classification (HP)
|
100% |
1249
232.2 IPS |
|
|
Image Classification (Q)
|
100% |
1797
334.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1944
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4182
4.96 IPS |
|
|
Object Detection (SP)
|
98% |
1065
84.8 IPS |
|
|
Object Detection (HP)
|
98% |
1067
84.9 IPS |
|
|
Object Detection (Q)
|
83% |
1619
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (Q)
|
95% |
2969
35.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2255
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2016
15.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3331
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4693
6.09 IPS |
|
|
Style Transfer (HP)
|
89% |
4249
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8619
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.4 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.5 IPS |
|
|
Text Classification (Q)
|
88% |
792
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
