samsung SM-S931B
Geekbench AI Score
2660
Single Precision Score
2674
Half Precision Score
4122
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | welshbloke |
| Upload Date | March 21 2025 12:41 PM |
| Views | 6 |
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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
100% |
4638
862.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5571
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5767
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5602
6.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
8749
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1185
94.3 IPS |
|
|
Object Detection (HP)
|
98% |
1431
113.9 IPS |
|
|
Object Detection (Q)
|
83% |
2181
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (Q)
|
95% |
9986
119.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4345
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4526
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9896
90.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11416
14.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10764
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27032
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4767
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
541
729.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
