samsung SM-S931B
Geekbench AI Score
1320
Single Precision Score
2185
Half Precision Score
2089
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 10:46 AM |
| 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% |
724
134.7 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (Q)
|
99% |
1032
192.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1778
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1727
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
2818
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (Q)
|
86% |
1016
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
3160
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4939
38.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
3785
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6173
7.94 IPS |
|
|
Style Transfer (HP)
|
100% |
13170
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13267
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2056
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2232
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
690
921.3 IPS |
|
|
Text Classification (HP)
|
100% |
708
944.4 IPS |
|
|
Text Classification (Q)
|
91% |
1120
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (Q)
|
57% |
762
18.6 IPS |
