Samsung Galaxy S22 Ultra
Geekbench AI Score
991
Single Precision Score
1122
Half Precision Score
1145
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
99% |
429
80.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1359
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2362
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
86% |
421
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1843
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2081
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2169
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5760
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
7655
9.84 IPS |
|
|
Style Transfer (Q)
|
98% |
7869
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1171
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1074
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.4 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.24 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
57% |
402
9.83 IPS |
