Samsung Galaxy S22 Ultra
Geekbench AI Score
690
Single Precision Score
1084
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rbtree |
| Upload Date | July 26 2025 01:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S22 Ultra |
| Model ID | samsung SM-S908U1 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (Q)
|
97% |
848
158.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1297
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.2 IPS |
|
|
Object Detection (Q)
|
89% |
669
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1737
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2423
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1108
8.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
2529
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2034
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2764
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5815
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5863
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
510
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.4 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.8 IPS |
|
|
Text Classification (Q)
|
91% |
422
567.3 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.20 IPS |
