Samsung Galaxy S23 Ultra
Geekbench AI Score
1404
Single Precision Score
1302
Half Precision Score
1828
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Bidav123 |
| Upload Date | September 01 2025 06:13 PM |
| Views | 9 |
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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
100% |
1490
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1658
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
4356
5.17 IPS |
|
|
Object Detection (SP)
|
98% |
928
73.9 IPS |
|
|
Object Detection (HP)
|
98% |
1030
81.9 IPS |
|
|
Object Detection (Q)
|
83% |
1443
116.5 IPS |
|
|
Face Detection (SP)
|
100% |
2048
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
95% |
3108
37.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2129
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2012
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4773
6.20 IPS |
|
|
Style Transfer (HP)
|
89% |
4817
6.25 IPS |
|
|
Style Transfer (Q)
|
98% |
9530
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1161
42.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2405
89.1 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.1 IPS |
|
|
Text Classification (HP)
|
99% |
451
602.6 IPS |
|
|
Text Classification (Q)
|
88% |
761
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
502
17.8 IPS |
