Samsung Galaxy S22 Ultra
Geekbench AI Score
1254
Single Precision Score
1197
Half Precision Score
1803
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daizko |
| Upload Date | February 22 2025 05:20 PM |
| Views | 3 |
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% |
1067
198.4 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.5 IPS |
|
|
Image Classification (Q)
|
100% |
1508
280.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1803
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2173
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1855
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
3327
3.95 IPS |
|
|
Object Detection (SP)
|
98% |
889
70.8 IPS |
|
|
Object Detection (HP)
|
98% |
883
70.2 IPS |
|
|
Object Detection (Q)
|
83% |
1130
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (Q)
|
95% |
2680
32.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1882
14.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2917
26.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4462
5.79 IPS |
|
|
Style Transfer (HP)
|
89% |
4075
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7665
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
384
511.9 IPS |
|
|
Text Classification (HP)
|
99% |
390
520.8 IPS |
|
|
Text Classification (Q)
|
88% |
709
955.7 IPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
