samsung SM-S731B
Geekbench AI Score
1034
Single Precision Score
2004
Half Precision Score
1471
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
606
112.8 IPS |
|
|
Image Classification (HP)
|
100% |
1190
221.2 IPS |
|
|
Image Classification (Q)
|
100% |
1088
202.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1904
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4555
5.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
9270
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9530
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
84% |
853
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
2730
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2589
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5373
41.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
3999
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10622
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19477
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19192
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2513
93.1 IPS |
|
|
Text Classification (SP)
|
29% |
25
425.7 IPS |
|
|
Text Classification (HP)
|
35% |
62
565.6 IPS |
|
|
Text Classification (Q)
|
29% |
30
514.6 IPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
42% |
179
11.6 IPS |
