samsung SM-S931U
Geekbench AI Score
1055
Single Precision Score
1900
Half Precision Score
1722
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | mvl30 |
| Upload Date | March 04 2025 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
727
135.2 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.2 IPS |
|
|
Image Classification (Q)
|
99% |
1118
208.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1161
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2508
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2482
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
1201
95.2 IPS |
|
|
Object Detection (Q)
|
86% |
1161
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (Q)
|
97% |
4526
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1501
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4166
32.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3562
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5237
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
10953
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10891
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1921
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
91% |
493
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.04 IPS |
