Samsung Galaxy S23 Plus
Geekbench AI Score
867
Single Precision Score
768
Half Precision Score
1412
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | October 04 2025 06:23 AM |
| Views | 6 |
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-S916N |
| 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% |
909
169.0 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (Q)
|
100% |
1348
250.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1080
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1544
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1470
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2963
3.51 IPS |
|
|
Object Detection (SP)
|
98% |
555
44.1 IPS |
|
|
Object Detection (HP)
|
98% |
558
44.4 IPS |
|
|
Object Detection (Q)
|
83% |
1080
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
997
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2124
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1151
8.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
1747
16.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2938
3.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2999
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
5855
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1479
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.9 IPS |
|
|
Text Classification (HP)
|
99% |
311
414.8 IPS |
|
|
Text Classification (Q)
|
88% |
547
737.1 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
