samsung SM-S931B
Geekbench AI Score
1164
Single Precision Score
2170
Half Precision Score
1985
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ncard00 |
| Upload Date | March 27 2025 11:58 AM |
| Views | 9 |
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% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
1855
344.9 IPS |
|
|
Image Classification (Q)
|
99% |
1396
260.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2538
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
2386
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
955
75.8 IPS |
|
|
Object Detection (Q)
|
86% |
998
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (Q)
|
97% |
3831
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1375
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3770
29.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
3019
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4646
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
9917
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10323
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1476
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
689
919.7 IPS |
|
|
Text Classification (HP)
|
100% |
685
914.8 IPS |
|
|
Text Classification (Q)
|
91% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
57% |
591
14.4 IPS |
