Samsung Galaxy S23 Ultra
Geekbench AI Score
801
Single Precision Score
701
Half Precision Score
1421
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 10:00 AM |
| 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% |
828
154.1 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
100% |
1245
231.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1538
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1870
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
3012
3.57 IPS |
|
|
Object Detection (SP)
|
98% |
361
28.7 IPS |
|
|
Object Detection (HP)
|
98% |
597
47.5 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
1157
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
2087
24.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1276
9.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2484
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2822
3.66 IPS |
|
|
Style Transfer (HP)
|
89% |
2346
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5252
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1451
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.2 IPS |
|
|
Text Classification (HP)
|
99% |
223
297.2 IPS |
|
|
Text Classification (Q)
|
88% |
463
624.8 IPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
