Samsung Galaxy S22
Geekbench AI Score
825
Single Precision Score
951
Half Precision Score
986
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | thoppe |
| Upload Date | March 29 2025 12:16 AM |
| Views | 11 |
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% |
365
67.9 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (Q)
|
99% |
417
77.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1599
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
2092
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
86% |
427
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1881
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1854
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2045
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2394
18.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2006
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5166
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6814
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
6765
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
884
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.3 IPS |
|
|
Text Classification (Q)
|
91% |
468
628.7 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.67 IPS |
