samsung SM-S731U
Geekbench AI Score
2124
Single Precision Score
2039
Half Precision Score
3009
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 05:13 PM |
| Views | 8 |
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% |
2228
414.4 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (Q)
|
100% |
3257
605.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3808
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2911
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
5653
6.70 IPS |
|
|
Object Detection (SP)
|
98% |
1388
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1228
97.7 IPS |
|
|
Object Detection (Q)
|
83% |
1892
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2971
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (Q)
|
95% |
4496
53.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3037
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3106
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4838
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7023
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
7203
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
12630
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2868
106.3 IPS |
|
|
Text Classification (SP)
|
100% |
528
705.2 IPS |
|
|
Text Classification (HP)
|
99% |
503
670.8 IPS |
|
|
Text Classification (Q)
|
88% |
842
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
663
23.5 IPS |
