Samsung Galaxy S22 Ultra
Geekbench AI Score
379
Single Precision Score
379
Half Precision Score
891
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:31 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% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
100% |
757
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
982
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1857
2.20 IPS |
|
|
Object Detection (SP)
|
98% |
173
13.8 IPS |
|
|
Object Detection (HP)
|
98% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
83% |
594
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (Q)
|
95% |
1201
14.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
671
5.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1312
12.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1265
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1269
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3694
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
833
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.3 IPS |
|
|
Text Classification (HP)
|
99% |
165
220.1 IPS |
|
|
Text Classification (Q)
|
88% |
412
555.5 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.07 IPS |
|
|
Machine Translation (Q)
|
50% |
250
8.87 IPS |
