Samsung Galaxy S23 Ultra
Geekbench AI Score
1337
Single Precision Score
1233
Half Precision Score
2155
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 09:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
100% |
1770
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1903
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2239
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
4703
5.58 IPS |
|
|
Object Detection (SP)
|
98% |
932
74.1 IPS |
|
|
Object Detection (HP)
|
98% |
747
59.4 IPS |
|
|
Object Detection (Q)
|
83% |
1357
109.6 IPS |
|
|
Face Detection (SP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3614
43.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2248
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2836
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5596
7.26 IPS |
|
|
Style Transfer (HP)
|
89% |
5615
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7854
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
634
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2599
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.7 IPS |
|
|
Text Classification (HP)
|
99% |
243
323.9 IPS |
|
|
Text Classification (Q)
|
88% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
541
19.2 IPS |
