Samsung Galaxy S23
Geekbench AI Score
861
Single Precision Score
782
Half Precision Score
1433
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Technologov |
| Upload Date | May 22 2025 10:40 PM |
| Views | 9 |
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 |
| Model ID | samsung SM-S911B |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (HP)
|
100% |
701
130.3 IPS |
|
|
Image Classification (Q)
|
100% |
1322
245.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1243
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2883
3.42 IPS |
|
|
Object Detection (SP)
|
98% |
561
44.7 IPS |
|
|
Object Detection (HP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (Q)
|
83% |
851
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
927
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
913
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
913
7.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
2026
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2903
3.77 IPS |
|
|
Style Transfer (HP)
|
89% |
2999
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5238
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1488
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
348
465.0 IPS |
|
|
Text Classification (HP)
|
99% |
345
461.0 IPS |
|
|
Text Classification (Q)
|
88% |
573
772.6 IPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
