Samsung Galaxy S22 Ultra
Geekbench AI Score
1622
Single Precision Score
1595
Half Precision Score
2318
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rbtree |
| Upload Date | January 18 2025 01:58 AM |
| Views | 8 |
| Notes | ~50%charged new batt/screen |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1200
223.2 IPS |
|
|
Image Classification (HP)
|
100% |
1101
204.7 IPS |
|
|
Image Classification (Q)
|
100% |
1633
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1847
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2378
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
4831
5.73 IPS |
|
|
Object Detection (SP)
|
98% |
1274
101.4 IPS |
|
|
Object Detection (HP)
|
98% |
1271
101.1 IPS |
|
|
Object Detection (Q)
|
83% |
1665
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (Q)
|
95% |
3638
43.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2681
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2599
20.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3985
36.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5412
7.03 IPS |
|
|
Style Transfer (HP)
|
89% |
5408
7.02 IPS |
|
|
Style Transfer (Q)
|
98% |
10435
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2583
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.9 IPS |
|
|
Text Classification (HP)
|
99% |
506
675.2 IPS |
|
|
Text Classification (Q)
|
88% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.5 IPS |
