Samsung Galaxy S23
Geekbench AI Score
1090
Single Precision Score
956
Half Precision Score
1760
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 12 2025 10:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1063
197.6 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.7 IPS |
|
|
Image Classification (Q)
|
100% |
1586
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1554
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1992
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3739
4.43 IPS |
|
|
Object Detection (SP)
|
98% |
722
57.4 IPS |
|
|
Object Detection (HP)
|
98% |
725
57.7 IPS |
|
|
Object Detection (Q)
|
83% |
1332
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2128
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1245
9.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
2283
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3675
4.77 IPS |
|
|
Style Transfer (HP)
|
89% |
2549
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6938
8.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1944
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
455
607.0 IPS |
|
|
Text Classification (HP)
|
99% |
415
553.5 IPS |
|
|
Text Classification (Q)
|
88% |
717
967.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
