Samsung Galaxy S22+
Geekbench AI Score
1176
Single Precision Score
1210
Half Precision Score
1721
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kristofersodersten |
| Upload Date | October 17 2024 03:20 PM |
| Views | 4 |
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-S906B |
| 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% |
885
164.6 IPS |
|
|
Image Classification (HP)
|
100% |
893
166.0 IPS |
|
|
Image Classification (Q)
|
100% |
1199
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1387
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1746
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1769
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
3211
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
794
63.2 IPS |
|
|
Object Detection (HP)
|
98% |
869
69.2 IPS |
|
|
Object Detection (Q)
|
83% |
1184
95.6 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
95% |
2837
33.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2080
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2094
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2894
26.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4394
5.70 IPS |
|
|
Style Transfer (HP)
|
89% |
4399
5.71 IPS |
|
|
Style Transfer (Q)
|
98% |
7266
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1999
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.5 IPS |
|
|
Text Classification (HP)
|
99% |
381
508.9 IPS |
|
|
Text Classification (Q)
|
88% |
722
973.7 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
