samsung SM-S931B
Geekbench AI Score
1981
Single Precision Score
2189
Half Precision Score
3410
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| 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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.8 IPS |
|
|
Image Classification (Q)
|
100% |
4164
774.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2242
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4852
5.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
8778
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
818
65.1 IPS |
|
|
Object Detection (HP)
|
98% |
904
71.9 IPS |
|
|
Object Detection (Q)
|
83% |
2370
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3853
45.8 IPS |
|
|
Face Detection (Q)
|
95% |
7168
85.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3513
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3847
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8252
75.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7360
9.55 IPS |
|
|
Style Transfer (HP)
|
89% |
8155
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15352
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1617
59.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4797
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.3 IPS |
|
|
Text Classification (HP)
|
99% |
685
914.0 IPS |
|
|
Text Classification (Q)
|
88% |
718
968.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
