samsung SM-S731U
Geekbench AI Score
1126
Single Precision Score
2067
Half Precision Score
1534
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 05:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S731U |
| Model ID | samsung SM-S731U |
| 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% |
816
151.8 IPS |
|
|
Image Classification (HP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (Q)
|
100% |
1359
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6360
7.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
12757
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10348
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
99% |
654
51.8 IPS |
|
|
Object Detection (Q)
|
84% |
613
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
3297
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5266
40.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3926
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10628
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18540
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18379
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1480
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2815
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2927
108.5 IPS |
|
|
Text Classification (SP)
|
29% |
18
308.2 IPS |
|
|
Text Classification (HP)
|
35% |
49
446.0 IPS |
|
|
Text Classification (Q)
|
30% |
27
434.4 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
42% |
192
12.5 IPS |
