Samsung Galaxy S22 Ultra
Geekbench AI Score
1799
Single Precision Score
1802
Half Precision Score
2861
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 01:54 AM |
| 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% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (Q)
|
100% |
2264
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2220
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2699
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2628
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
5620
6.66 IPS |
|
|
Object Detection (SP)
|
98% |
1334
106.1 IPS |
|
|
Object Detection (HP)
|
98% |
1330
105.9 IPS |
|
|
Object Detection (Q)
|
83% |
1996
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (Q)
|
95% |
4564
54.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2825
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2757
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4634
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6019
7.81 IPS |
|
|
Style Transfer (HP)
|
89% |
5805
7.54 IPS |
|
|
Style Transfer (Q)
|
98% |
12405
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3076
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.7 IPS |
|
|
Text Classification (HP)
|
99% |
684
912.4 IPS |
|
|
Text Classification (Q)
|
88% |
1227
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
659
23.4 IPS |
