samsung SM-S931W
Geekbench AI Score
2840
Single Precision Score
2840
Half Precision Score
4332
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | jasubhai |
| Upload Date | March 18 2025 07:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931W |
| Model ID | samsung SM-S931W |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.5 IPS |
|
|
Image Classification (Q)
|
100% |
4687
871.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5519
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5488
6.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
11457
13.6 IPS |
|
|
Object Detection (SP)
|
98% |
1617
128.7 IPS |
|
|
Object Detection (HP)
|
98% |
1769
140.8 IPS |
|
|
Object Detection (Q)
|
83% |
2002
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (Q)
|
95% |
10014
119.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4818
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4624
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8192
75.0 IPS |
|
|
Style Transfer (SP)
|
89% |
11673
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
12260
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20664
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4889
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1089
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.4 IPS |
