samsung SM-S931U1
Geekbench AI Score
1304
Single Precision Score
2512
Half Precision Score
2290
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 07 2025 02:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931U1 |
| Model ID | samsung SM-S931U1 |
| 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% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
1780
331.0 IPS |
|
|
Image Classification (Q)
|
99% |
1285
239.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1704
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2891
3.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
2894
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
86% |
1389
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
5607
66.6 IPS |
|
|
Face Detection (Q)
|
97% |
3552
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4869
37.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
4012
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6257
8.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13032
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
12967
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2244
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
676
902.0 IPS |
|
|
Text Classification (HP)
|
100% |
670
894.7 IPS |
|
|
Text Classification (Q)
|
91% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
57% |
767
18.7 IPS |
