samsung SM-S731B
Geekbench AI Score
310
Single Precision Score
327
Half Precision Score
971
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 13 2026 03:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
99% |
755
140.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1583
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
781
12.7 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
2017
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
87% |
628
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (Q)
|
97% |
1353
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
554
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
556
4.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1108
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
874
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
846
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2050
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
990
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.8 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.2 IPS |
|
|
Text Classification (Q)
|
91% |
633
850.9 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
522
12.8 IPS |
