Samsung Galaxy S22 Ultra
Geekbench AI Score
536
Single Precision Score
409
Half Precision Score
968
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 06:32 PM |
| 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-S908E |
| 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% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
100% |
993
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1077
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1833
2.17 IPS |
|
|
Object Detection (SP)
|
98% |
604
48.0 IPS |
|
|
Object Detection (HP)
|
98% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
918
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.72 IPS |
|
|
Face Detection (Q)
|
95% |
1199
14.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
654
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1371
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2474
3.21 IPS |
|
|
Style Transfer (HP)
|
89% |
2188
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
3289
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
391
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
835
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.8 IPS |
|
|
Text Classification (HP)
|
99% |
204
272.6 IPS |
|
|
Text Classification (Q)
|
88% |
351
473.3 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
50% |
273
9.70 IPS |
