Samsung Galaxy S22 Ultra
Geekbench AI Score
1458
Single Precision Score
1454
Half Precision Score
1929
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 08:53 AM |
| Views | 1 |
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-S908N |
| 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% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
100% |
1756
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1925
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2259
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
4217
5.00 IPS |
|
|
Object Detection (SP)
|
98% |
1062
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1068
85.0 IPS |
|
|
Object Detection (Q)
|
83% |
1413
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2044
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
2015
23.9 IPS |
|
|
Face Detection (Q)
|
95% |
3034
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2286
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2274
17.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3314
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4620
6.00 IPS |
|
|
Style Transfer (HP)
|
89% |
4602
5.97 IPS |
|
|
Style Transfer (Q)
|
98% |
8815
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2171
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
426
568.3 IPS |
|
|
Text Classification (HP)
|
99% |
451
601.4 IPS |
|
|
Text Classification (Q)
|
88% |
386
520.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
