samsung SM-S931B
Geekbench AI Score
2671
Single Precision Score
2734
Half Precision Score
4674
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jnpt |
| Upload Date | March 20 2025 08:28 PM |
| Views | 11 |
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% |
2169
403.5 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
100% |
4552
846.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5371
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5168
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
12541
14.9 IPS |
|
|
Object Detection (SP)
|
98% |
1586
126.2 IPS |
|
|
Object Detection (HP)
|
98% |
1321
105.2 IPS |
|
|
Object Detection (Q)
|
83% |
2333
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
9678
115.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4844
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4707
36.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10776
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11353
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11243
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19124
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6662
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
99% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
