Samsung Galaxy S23 Ultra
Geekbench AI Score
853
Single Precision Score
815
Half Precision Score
1368
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 09:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
100% |
1362
253.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1741
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
2243
2.66 IPS |
|
|
Object Detection (SP)
|
98% |
516
41.1 IPS |
|
|
Object Detection (HP)
|
98% |
562
44.8 IPS |
|
|
Object Detection (Q)
|
83% |
947
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2126
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1314
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1744
16.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2046
2.66 IPS |
|
|
Style Transfer (HP)
|
89% |
1960
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4484
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.1 IPS |
|
|
Text Classification (HP)
|
99% |
349
465.8 IPS |
|
|
Text Classification (Q)
|
88% |
546
736.1 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
