Samsung Galaxy S23 Plus
Geekbench AI Score
1318
Single Precision Score
1537
Half Precision Score
2247
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 09:15 PM |
| Views | 2 |
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 Plus |
| Model ID | samsung SM-S916B |
| 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% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
100% |
2110
392.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1940
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2394
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
5537
6.57 IPS |
|
|
Object Detection (SP)
|
98% |
1195
95.1 IPS |
|
|
Object Detection (HP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (Q)
|
83% |
1614
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2504
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
3883
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2439
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2599
20.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4142
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3996
5.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4188
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9437
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2802
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.5 IPS |
|
|
Text Classification (HP)
|
99% |
576
768.6 IPS |
|
|
Text Classification (Q)
|
88% |
649
875.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
