samsung SM-S731B
Geekbench AI Score
2262
Single Precision Score
2197
Half Precision Score
3119
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 13 2026 03:34 AM |
| Views | 1 |
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% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
100% |
3217
598.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2894
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4349
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6056
7.18 IPS |
|
|
Object Detection (SP)
|
98% |
1462
116.3 IPS |
|
|
Object Detection (HP)
|
98% |
1295
103.0 IPS |
|
|
Object Detection (Q)
|
83% |
1702
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
95% |
4199
50.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3002
23.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4285
39.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7654
9.94 IPS |
|
|
Style Transfer (HP)
|
89% |
8309
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15253
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3646
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.5 IPS |
|
|
Text Classification (HP)
|
99% |
667
889.7 IPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
844
30.0 IPS |
