samsung SM-S731U
Geekbench AI Score
1735
Single Precision Score
2711
Half Precision Score
2176
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 05 2026 09:27 PM |
| Views | 5 |
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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
100% |
1574
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2758
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7238
8.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
15297
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14600
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
99% |
1207
95.7 IPS |
|
|
Object Detection (Q)
|
84% |
1103
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (Q)
|
97% |
5905
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4865
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7416
57.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
6519
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17383
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27634
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27198
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2276
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5175
191.8 IPS |
|
|
Text Classification (SP)
|
29% |
40
684.1 IPS |
|
|
Text Classification (HP)
|
29% |
34
582.2 IPS |
|
|
Text Classification (Q)
|
29% |
30
520.3 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
42% |
210
13.6 IPS |
