Samsung Galaxy S23 Plus
Geekbench AI Score
977
Single Precision Score
846
Half Precision Score
1703
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 01:37 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (Q)
|
100% |
1991
370.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
6434
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
574
45.7 IPS |
|
|
Object Detection (HP)
|
98% |
330
26.3 IPS |
|
|
Object Detection (Q)
|
83% |
1035
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2053
24.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2606
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1935
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4069
37.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3003
3.90 IPS |
|
|
Style Transfer (HP)
|
89% |
3007
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5458
7.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1192
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.2 IPS |
|
|
Text Classification (HP)
|
99% |
253
337.6 IPS |
|
|
Text Classification (Q)
|
88% |
537
723.7 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
