Samsung Galaxy S23 Ultra
Geekbench AI Score
762
Single Precision Score
682
Half Precision Score
1339
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 10 2024 11:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U1 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1021
189.8 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
100% |
1458
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1833
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1371
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
2628
3.12 IPS |
|
|
Object Detection (SP)
|
98% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
98% |
361
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
977
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (Q)
|
95% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1271
9.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.45 IPS |
|
|
Depth Estimation (Q)
|
64% |
1477
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1758
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
2747
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
4552
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1065
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (HP)
|
99% |
338
450.7 IPS |
|
|
Text Classification (Q)
|
88% |
590
796.0 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
50% |
343
12.2 IPS |
