Samsung Galaxy S23 Ultra
Geekbench AI Score
872
Single Precision Score
687
Half Precision Score
1444
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:09 AM |
| 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-S918U |
| 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% |
1000
186.0 IPS |
|
|
Image Classification (HP)
|
100% |
607
113.0 IPS |
|
|
Image Classification (Q)
|
100% |
1403
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2985
3.54 IPS |
|
|
Object Detection (SP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (HP)
|
98% |
289
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
1109
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1664
19.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1095
8.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1133
8.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2032
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3199
4.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2854
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
5242
6.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1458
54.0 IPS |
|
|
Text Classification (SP)
|
100% |
360
481.2 IPS |
|
|
Text Classification (HP)
|
99% |
325
434.3 IPS |
|
|
Text Classification (Q)
|
88% |
585
789.1 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
