Samsung Galaxy S23
Geekbench AI Score
1043
Single Precision Score
899
Half Precision Score
1767
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 03:25 AM |
| Views | 18 |
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-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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
893
166.2 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1701
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1811
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
3958
4.69 IPS |
|
|
Object Detection (SP)
|
98% |
685
54.5 IPS |
|
|
Object Detection (HP)
|
98% |
375
29.8 IPS |
|
|
Object Detection (Q)
|
83% |
1417
114.4 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2114
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1963
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1077
8.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
2835
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2505
3.25 IPS |
|
|
Style Transfer (HP)
|
89% |
3766
4.89 IPS |
|
|
Style Transfer (Q)
|
98% |
8325
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
837
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
408
545.0 IPS |
|
|
Text Classification (HP)
|
99% |
452
603.0 IPS |
|
|
Text Classification (Q)
|
88% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.7 IPS |
