Samsung Galaxy S23 Plus
Geekbench AI Score
766
Single Precision Score
792
Half Precision Score
1322
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | jaxcoder |
| Upload Date | July 20 2025 07:50 PM |
| Views | 6 |
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-S916U |
| 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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
100% |
1007
187.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
957
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1494
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1591
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2885
3.42 IPS |
|
|
Object Detection (SP)
|
98% |
565
45.0 IPS |
|
|
Object Detection (HP)
|
98% |
522
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
849
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1947
23.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
899
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1390
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2097
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2917
3.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2003
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
5461
7.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1480
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.5 IPS |
|
|
Text Classification (HP)
|
99% |
343
457.3 IPS |
|
|
Text Classification (Q)
|
88% |
537
724.3 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
