samsung SM-S931U
Geekbench AI Score
2876
Single Precision Score
2871
Half Precision Score
5262
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 17 2025 10:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931U |
| Model ID | samsung SM-S931U |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (Q)
|
100% |
4567
849.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2526
41.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5514
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5620
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5408
6.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
13826
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1780
141.6 IPS |
|
|
Object Detection (HP)
|
98% |
1776
141.3 IPS |
|
|
Object Detection (Q)
|
83% |
4101
331.2 IPS |
|
|
Face Detection (SP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (Q)
|
95% |
10261
122.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4692
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4598
35.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10640
97.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11687
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11320
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24944
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6829
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (HP)
|
99% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1052
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
