Samsung Galaxy S23 Ultra
Geekbench AI Score
2013
Single Precision Score
1940
Half Precision Score
3040
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 06:48 PM |
| Views | 1 |
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% |
1806
335.9 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.7 IPS |
|
|
Image Classification (Q)
|
100% |
2746
510.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3089
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2851
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2816
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6587
7.81 IPS |
|
|
Object Detection (SP)
|
98% |
1618
128.8 IPS |
|
|
Object Detection (HP)
|
98% |
1636
130.2 IPS |
|
|
Object Detection (Q)
|
83% |
2421
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
5289
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3054
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2841
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4182
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7229
9.38 IPS |
|
|
Style Transfer (HP)
|
89% |
6414
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
11983
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2856
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
579
772.2 IPS |
|
|
Text Classification (HP)
|
99% |
576
768.8 IPS |
|
|
Text Classification (Q)
|
88% |
1030
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
640
22.7 IPS |
