samsung SM-S731B
Geekbench AI Score
1303
Single Precision Score
2444
Half Precision Score
1838
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 12:16 AM |
| Views | 6 |
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% |
753
140.1 IPS |
|
|
Image Classification (HP)
|
100% |
1555
289.2 IPS |
|
|
Image Classification (Q)
|
100% |
1210
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2286
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
12944
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12751
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.7 IPS |
|
|
Object Detection (HP)
|
99% |
1039
82.4 IPS |
|
|
Object Detection (Q)
|
84% |
1030
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (Q)
|
97% |
3998
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3657
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6652
51.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4952
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13236
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23238
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28629
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3269
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3513
130.2 IPS |
|
|
Text Classification (SP)
|
29% |
25
439.7 IPS |
|
|
Text Classification (HP)
|
35% |
63
572.9 IPS |
|
|
Text Classification (Q)
|
29% |
31
541.3 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
42% |
197
12.8 IPS |
