samsung SM-S731B
Geekbench AI Score
2636
Single Precision Score
2632
Half Precision Score
3879
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 03:58 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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
2092
389.1 IPS |
|
|
Image Classification (Q)
|
100% |
3522
654.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3950
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4460
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4289
5.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
9326
11.1 IPS |
|
|
Object Detection (SP)
|
98% |
1865
148.4 IPS |
|
|
Object Detection (HP)
|
98% |
1958
155.8 IPS |
|
|
Object Detection (Q)
|
83% |
2769
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
5974
71.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4132
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4186
32.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6623
60.7 IPS |
|
|
Style Transfer (SP)
|
89% |
10090
13.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10059
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17315
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4013
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
669
892.7 IPS |
|
|
Text Classification (HP)
|
99% |
700
935.0 IPS |
|
|
Text Classification (Q)
|
88% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
50% |
793
28.1 IPS |
