Samsung Galaxy S22 Ultra
Geekbench AI Score
1874
Single Precision Score
1837
Half Precision Score
2902
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:53 PM |
| 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 Ultra |
| Model ID | samsung SM-S908B |
| 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 | 10.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (Q)
|
100% |
2248
418.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2795
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2673
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5808
6.89 IPS |
|
|
Object Detection (SP)
|
98% |
1339
106.6 IPS |
|
|
Object Detection (HP)
|
98% |
1337
106.4 IPS |
|
|
Object Detection (Q)
|
83% |
1854
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (Q)
|
95% |
4645
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2833
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2830
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4706
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6180
8.02 IPS |
|
|
Style Transfer (HP)
|
89% |
6055
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
12746
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3187
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
660
880.3 IPS |
|
|
Text Classification (HP)
|
99% |
664
885.8 IPS |
|
|
Text Classification (Q)
|
88% |
1172
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
676
24.0 IPS |
