samsung SM-S931B
Geekbench AI Score
1195
Single Precision Score
1955
Half Precision Score
1864
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 03:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
682
126.8 IPS |
|
|
Image Classification (HP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (Q)
|
99% |
787
146.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2521
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2475
2.90 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (Q)
|
86% |
1010
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (Q)
|
97% |
3316
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1520
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4056
31.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3406
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5091
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
10894
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10904
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1933
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (HP)
|
100% |
671
896.2 IPS |
|
|
Text Classification (Q)
|
91% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
57% |
661
16.2 IPS |
