samsung SM-S931B
Geekbench AI Score
2699
Single Precision Score
2685
Half Precision Score
4444
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Technologov |
| Upload Date | May 04 2025 01:48 PM |
| Views | 4 |
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% |
2146
399.0 IPS |
|
|
Image Classification (HP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (Q)
|
100% |
4409
820.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5381
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5641
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5250
6.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
12663
15.0 IPS |
|
|
Object Detection (SP)
|
98% |
1613
128.4 IPS |
|
|
Object Detection (HP)
|
98% |
1419
112.9 IPS |
|
|
Object Detection (Q)
|
83% |
2381
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (Q)
|
95% |
8796
105.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4907
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4506
34.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10774
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11628
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11583
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18935
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1965
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5223
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
88% |
1064
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
422
15.0 IPS |
