Samsung Galaxy S23 Ultra
Geekbench AI Score
450
Single Precision Score
446
Half Precision Score
987
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 08:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (Q)
|
99% |
702
131.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
87% |
746
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
97% |
1469
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
571
4.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1335
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
925
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2199
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1082
40.1 IPS |
|
|
Text Classification (SP)
|
100% |
408
543.9 IPS |
|
|
Text Classification (HP)
|
100% |
410
546.9 IPS |
|
|
Text Classification (Q)
|
91% |
591
793.9 IPS |
|
|
Machine Translation (SP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
456
11.1 IPS |
