samsung SM-S731B
Geekbench AI Score
2173
Single Precision Score
2151
Half Precision Score
2999
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 11:58 PM |
| Views | 3 |
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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.8 IPS |
|
|
Image Classification (Q)
|
100% |
2806
521.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3421
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
8648
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1476
117.5 IPS |
|
|
Object Detection (HP)
|
98% |
1438
114.5 IPS |
|
|
Object Detection (Q)
|
83% |
1847
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4442
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3170
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3178
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4286
39.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7215
9.37 IPS |
|
|
Style Transfer (HP)
|
89% |
7153
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12730
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3064
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.3 IPS |
|
|
Text Classification (HP)
|
99% |
570
761.1 IPS |
|
|
Text Classification (Q)
|
88% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
663
23.5 IPS |
