Samsung Galaxy S23
Geekbench AI Score
1861
Single Precision Score
1895
Half Precision Score
2856
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | cpayne1303 |
| Upload Date | October 09 2025 10:17 PM |
| Views | 5 |
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% |
1666
309.8 IPS |
|
|
Image Classification (HP)
|
100% |
1673
311.2 IPS |
|
|
Image Classification (Q)
|
100% |
2750
511.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2724
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
6115
7.25 IPS |
|
|
Object Detection (SP)
|
98% |
1511
120.2 IPS |
|
|
Object Detection (HP)
|
98% |
1516
120.6 IPS |
|
|
Object Detection (Q)
|
83% |
2337
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
2994
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (Q)
|
95% |
5258
62.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3066
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5345
49.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6794
8.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6835
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
12115
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2866
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.2 IPS |
|
|
Text Classification (HP)
|
99% |
569
759.2 IPS |
|
|
Text Classification (Q)
|
88% |
597
805.0 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
