Samsung Galaxy S23 Ultra
Geekbench AI Score
1436
Single Precision Score
1441
Half Precision Score
2144
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | PLJKT |
| Upload Date | May 22 2025 06:33 AM |
| Views | 7 |
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% |
1554
289.0 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.6 IPS |
|
|
Image Classification (Q)
|
100% |
2428
451.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2504
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
4349
5.16 IPS |
|
|
Object Detection (SP)
|
98% |
931
74.1 IPS |
|
|
Object Detection (HP)
|
98% |
946
75.3 IPS |
|
|
Object Detection (Q)
|
83% |
1339
108.2 IPS |
|
|
Face Detection (SP)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
1936
23.0 IPS |
|
|
Face Detection (Q)
|
95% |
2926
34.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1926
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3119
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4717
6.12 IPS |
|
|
Style Transfer (HP)
|
89% |
4799
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
8698
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2209
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
411
549.0 IPS |
|
|
Text Classification (HP)
|
99% |
412
550.4 IPS |
|
|
Text Classification (Q)
|
88% |
723
974.8 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
