samsung SM-S731B
Geekbench AI Score
2249
Single Precision Score
2256
Half Precision Score
3157
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 01:46 PM |
| Views | 1 |
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% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (Q)
|
100% |
3521
654.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4008
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3603
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5673
6.73 IPS |
|
|
Object Detection (SP)
|
98% |
1384
110.2 IPS |
|
|
Object Detection (HP)
|
98% |
1302
103.6 IPS |
|
|
Object Detection (Q)
|
83% |
1851
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
4641
55.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3390
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5162
47.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8139
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
7832
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14462
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3280
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
564
752.4 IPS |
|
|
Text Classification (HP)
|
99% |
601
802.2 IPS |
|
|
Text Classification (Q)
|
88% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (Q)
|
50% |
701
24.9 IPS |
