samsung SM-S731U
Geekbench AI Score
2456
Single Precision Score
2471
Half Precision Score
3541
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:49 AM |
| Views | 3 |
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% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.4 IPS |
|
|
Image Classification (Q)
|
100% |
3282
610.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3965
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4243
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4097
4.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
9151
10.9 IPS |
|
|
Object Detection (SP)
|
98% |
1991
158.5 IPS |
|
|
Object Detection (HP)
|
98% |
2045
162.7 IPS |
|
|
Object Detection (Q)
|
83% |
2673
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
5737
68.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3781
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3373
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5111
46.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8297
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8029
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15115
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3419
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
615
821.2 IPS |
|
|
Text Classification (HP)
|
99% |
613
818.8 IPS |
|
|
Text Classification (Q)
|
88% |
960
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
671
23.8 IPS |
