samsung SM-S731U
Geekbench AI Score
1919
Single Precision Score
1903
Half Precision Score
2652
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 09:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731U |
| Model ID | samsung SM-S731U |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1575
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.8 IPS |
|
|
Image Classification (Q)
|
100% |
2441
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3041
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6115
7.25 IPS |
|
|
Object Detection (SP)
|
98% |
1293
102.9 IPS |
|
|
Object Detection (HP)
|
98% |
1324
105.3 IPS |
|
|
Object Detection (Q)
|
83% |
1813
146.4 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4157
49.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2776
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2762
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4010
36.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6785
8.81 IPS |
|
|
Style Transfer (HP)
|
89% |
6765
8.78 IPS |
|
|
Style Transfer (Q)
|
98% |
11852
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2797
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (HP)
|
99% |
488
651.8 IPS |
|
|
Text Classification (Q)
|
88% |
667
899.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
