Samsung Galaxy S23 Plus
Geekbench AI Score
984
Single Precision Score
989
Half Precision Score
1680
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 10:11 AM |
| 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% |
419
77.9 IPS |
|
|
Image Classification (HP)
|
100% |
696
129.4 IPS |
|
|
Image Classification (Q)
|
100% |
1556
289.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1694
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1954
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1846
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
3012
3.57 IPS |
|
|
Object Detection (SP)
|
98% |
716
57.0 IPS |
|
|
Object Detection (HP)
|
98% |
720
57.3 IPS |
|
|
Object Detection (Q)
|
83% |
1079
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2133
25.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1480
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2392
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3405
4.42 IPS |
|
|
Style Transfer (HP)
|
89% |
3430
4.45 IPS |
|
|
Style Transfer (Q)
|
98% |
7004
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1809
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
389
518.7 IPS |
|
|
Text Classification (HP)
|
99% |
425
567.3 IPS |
|
|
Text Classification (Q)
|
88% |
698
941.8 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
466
16.6 IPS |
