Samsung Galaxy S22 Ultra
Geekbench AI Score
1319
Single Precision Score
1354
Half Precision Score
1955
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 05:16 AM |
| Views | 2 |
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% |
920
171.0 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.4 IPS |
|
|
Image Classification (Q)
|
100% |
1365
253.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1501
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1991
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4168
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
1062
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1059
84.3 IPS |
|
|
Object Detection (Q)
|
83% |
1412
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (Q)
|
95% |
3029
36.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2286
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2301
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3319
30.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4569
5.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4587
5.95 IPS |
|
|
Style Transfer (Q)
|
98% |
8429
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2319
85.9 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.3 IPS |
|
|
Text Classification (HP)
|
99% |
417
557.2 IPS |
|
|
Text Classification (Q)
|
88% |
725
977.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
50% |
476
16.9 IPS |
