Samsung Galaxy S23 Ultra
Geekbench AI Score
1883
Single Precision Score
1873
Half Precision Score
2775
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | clove |
| Upload Date | February 13 2025 08:31 PM |
| Views | 2 |
| Notes | Phone |
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% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (Q)
|
100% |
2767
514.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2819
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2608
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
6146
7.29 IPS |
|
|
Object Detection (SP)
|
98% |
1501
119.5 IPS |
|
|
Object Detection (HP)
|
98% |
1497
119.1 IPS |
|
|
Object Detection (Q)
|
83% |
2071
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
4622
55.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2878
22.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4067
37.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6356
8.25 IPS |
|
|
Style Transfer (HP)
|
89% |
6101
7.92 IPS |
|
|
Style Transfer (Q)
|
98% |
10952
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2797
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
530
706.9 IPS |
|
|
Text Classification (HP)
|
99% |
529
705.5 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
