Samsung Galaxy S23 Ultra
Geekbench AI Score
2071
Single Precision Score
2156
Half Precision Score
3466
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Geraedus |
| Upload Date | January 25 2026 08:39 AM |
| Views | 12 |
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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
1781
331.2 IPS |
|
|
Image Classification (Q)
|
100% |
2817
523.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3052
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6736
7.99 IPS |
|
|
Object Detection (SP)
|
98% |
1689
134.4 IPS |
|
|
Object Detection (HP)
|
98% |
1675
133.3 IPS |
|
|
Object Detection (Q)
|
83% |
2533
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
5283
63.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3034
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5510
50.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7260
9.43 IPS |
|
|
Style Transfer (HP)
|
89% |
7253
9.42 IPS |
|
|
Style Transfer (Q)
|
98% |
13841
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3791
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1427
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
784
27.8 IPS |
