Samsung Galaxy S23 Ultra
Geekbench AI Score
899
Single Precision Score
831
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 11 2025 02:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918B |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
181.0 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
100% |
1518
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1842
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
2998
3.56 IPS |
|
|
Object Detection (SP)
|
98% |
553
44.0 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.2 IPS |
|
|
Object Detection (Q)
|
83% |
979
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1870
22.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1137
8.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
2025
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2803
3.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2806
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5091
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
735
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1484
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.1 IPS |
|
|
Text Classification (HP)
|
99% |
348
464.2 IPS |
|
|
Text Classification (Q)
|
88% |
542
730.5 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
