Samsung Galaxy S23 Ultra
Geekbench AI Score
1082
Single Precision Score
1049
Half Precision Score
1773
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:55 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-S918W |
| 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% |
986
183.3 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.5 IPS |
|
|
Image Classification (Q)
|
100% |
2153
400.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2949
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3094
3.67 IPS |
|
|
Object Detection (SP)
|
98% |
889
70.8 IPS |
|
|
Object Detection (HP)
|
98% |
1130
89.9 IPS |
|
|
Object Detection (Q)
|
83% |
1232
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1300
15.5 IPS |
|
|
Face Detection (Q)
|
95% |
2201
26.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2054
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2974
27.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3688
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
4114
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7876
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1540
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.4 IPS |
|
|
Text Classification (HP)
|
99% |
330
440.5 IPS |
|
|
Text Classification (Q)
|
88% |
636
858.1 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
497
17.6 IPS |
