Samsung Galaxy S23 Plus
Geekbench AI Score
1268
Single Precision Score
1031
Half Precision Score
1944
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 1 |
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 Plus |
| Model ID | samsung SM-S916W |
| 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% |
1051
195.5 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.3 IPS |
|
|
Image Classification (Q)
|
100% |
1291
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
904
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2810
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1928
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3630
4.31 IPS |
|
|
Object Detection (SP)
|
98% |
819
65.2 IPS |
|
|
Object Detection (HP)
|
98% |
708
56.4 IPS |
|
|
Object Detection (Q)
|
83% |
1734
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1737
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2711
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3976
5.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3850
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
11749
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1934
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.5 IPS |
|
|
Text Classification (HP)
|
99% |
309
412.3 IPS |
|
|
Text Classification (Q)
|
88% |
1011
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
501
17.8 IPS |
