Samsung Galaxy S22 Ultra
Geekbench AI Score
937
Single Precision Score
1094
Half Precision Score
1094
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 26 2024 07:41 PM |
| Views | 30 |
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 | 10.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
404
75.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2385
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
2458
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
89% |
361
28.9 IPS |
|
|
Face Detection (SP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
1802
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2103
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2682
20.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
2482
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5753
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
7892
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8283
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1318
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
256
342.3 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.8 IPS |
|
|
Text Classification (Q)
|
91% |
479
644.4 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.73 IPS |
