samsung SM-S731B
Geekbench AI Score
2109
Single Precision Score
2152
Half Precision Score
3004
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 11:50 AM |
| Views | 4 |
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% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (Q)
|
100% |
3503
651.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3849
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4005
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
6069
7.20 IPS |
|
|
Object Detection (SP)
|
98% |
1467
116.8 IPS |
|
|
Object Detection (HP)
|
98% |
1470
117.0 IPS |
|
|
Object Detection (Q)
|
83% |
2000
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3076
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
4159
49.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4273
39.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7174
9.31 IPS |
|
|
Style Transfer (HP)
|
89% |
7007
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
12646
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3008
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.3 IPS |
|
|
Text Classification (HP)
|
99% |
572
763.0 IPS |
|
|
Text Classification (Q)
|
88% |
864
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
50% |
627
22.2 IPS |
