Samsung Galaxy S22
Geekbench AI Score
874
Single Precision Score
994
Half Precision Score
975
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 03:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
99% |
356
66.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1353
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
1789
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
429
34.5 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1785
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1913
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2481
19.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1417
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4004
5.15 IPS |
|
|
Style Transfer (HP)
|
100% |
5581
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
5609
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
895
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.3 IPS |
|
|
Text Classification (Q)
|
91% |
459
617.2 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (Q)
|
57% |
361
8.81 IPS |
