Samsung Galaxy S23 Ultra
Geekbench AI Score
1840
Single Precision Score
1849
Half Precision Score
2779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BrunoFoca |
| Upload Date | February 16 2025 08:57 PM |
| Views | 7 |
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-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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
1664
309.4 IPS |
|
|
Image Classification (Q)
|
100% |
2636
490.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2552
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2573
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
5881
6.97 IPS |
|
|
Object Detection (SP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (HP)
|
98% |
1481
117.9 IPS |
|
|
Object Detection (Q)
|
83% |
2079
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4635
55.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2945
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2883
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3647
33.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6024
7.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6039
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
11252
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2891
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.8 IPS |
|
|
Text Classification (HP)
|
99% |
532
710.3 IPS |
|
|
Text Classification (Q)
|
88% |
894
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
622
22.1 IPS |
