samsung SM-S731B
Geekbench AI Score
2115
Single Precision Score
2149
Half Precision Score
3100
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731B |
| Model ID | samsung SM-S731B |
| 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% |
1855
344.9 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
100% |
3288
611.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3941
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4205
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4031
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
8034
9.53 IPS |
|
|
Object Detection (SP)
|
98% |
1462
116.4 IPS |
|
|
Object Detection (HP)
|
98% |
1288
102.5 IPS |
|
|
Object Detection (Q)
|
83% |
1989
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
4142
49.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2908
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3156
24.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4532
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7217
9.37 IPS |
|
|
Style Transfer (HP)
|
89% |
7121
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
12660
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3070
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.5 IPS |
|
|
Text Classification (HP)
|
99% |
559
746.5 IPS |
|
|
Text Classification (Q)
|
88% |
895
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
