samsung SM-S931B
Geekbench AI Score
2610
Single Precision Score
2696
Half Precision Score
4150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 10 2025 03:35 PM |
| Views | 3 |
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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.2 IPS |
|
|
Image Classification (Q)
|
100% |
4731
879.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5632
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5366
6.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6254
7.42 IPS |
|
|
Object Detection (SP)
|
98% |
1188
94.5 IPS |
|
|
Object Detection (HP)
|
98% |
1463
116.4 IPS |
|
|
Object Detection (Q)
|
83% |
2161
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (Q)
|
95% |
9036
107.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4615
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4653
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
11080
101.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9707
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
10249
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19308
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5159
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
