Samsung Galaxy S23
Geekbench AI Score
1207
Single Precision Score
976
Half Precision Score
1984
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 |
| Model ID | samsung SM-S911W |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (Q)
|
100% |
2111
392.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1674
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2961
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
3940
4.67 IPS |
|
|
Object Detection (SP)
|
98% |
699
55.6 IPS |
|
|
Object Detection (HP)
|
98% |
928
73.9 IPS |
|
|
Object Detection (Q)
|
83% |
1376
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
1288
15.3 IPS |
|
|
Face Detection (Q)
|
95% |
2934
35.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1743
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1434
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2323
21.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4081
5.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3749
4.87 IPS |
|
|
Style Transfer (Q)
|
98% |
12147
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2014
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
410
546.9 IPS |
|
|
Text Classification (HP)
|
99% |
308
411.7 IPS |
|
|
Text Classification (Q)
|
88% |
738
994.7 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
