samsung SM-S731B
Geekbench AI Score
2016
Single Precision Score
1893
Half Precision Score
2803
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 10:47 AM |
| Views | 5 |
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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
1183
220.1 IPS |
|
|
Image Classification (Q)
|
100% |
3114
579.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2272
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2957
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
6091
7.22 IPS |
|
|
Object Detection (SP)
|
98% |
1370
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
1461
116.2 IPS |
|
|
Object Detection (Q)
|
83% |
1936
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
4143
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2938
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2965
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4357
39.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7206
9.35 IPS |
|
|
Style Transfer (HP)
|
89% |
7194
9.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12616
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3062
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.2 IPS |
|
|
Text Classification (HP)
|
99% |
526
702.5 IPS |
|
|
Text Classification (Q)
|
88% |
888
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1423
24.5 IPS |
|
|
Machine Translation (Q)
|
50% |
581
20.6 IPS |
