Samsung Galaxy S22 Ultra
Geekbench AI Score
1447
Single Precision Score
1426
Half Precision Score
2024
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 03:24 AM |
| Views | 3 |
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-S908U |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1268
235.9 IPS |
|
|
Image Classification (Q)
|
100% |
1752
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1922
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4165
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
1061
84.4 IPS |
|
|
Object Detection (HP)
|
98% |
1061
84.5 IPS |
|
|
Object Detection (Q)
|
83% |
1415
114.3 IPS |
|
|
Face Detection (SP)
|
100% |
2007
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (Q)
|
95% |
3035
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2259
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2254
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2934
26.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4587
5.95 IPS |
|
|
Style Transfer (HP)
|
89% |
4589
5.96 IPS |
|
|
Style Transfer (Q)
|
98% |
8691
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2169
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
446
594.8 IPS |
|
|
Text Classification (HP)
|
99% |
404
539.2 IPS |
|
|
Text Classification (Q)
|
88% |
726
978.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
478
17.0 IPS |
