PELADN WI-6
Geekbench AI Score
929
Single Precision Score
923
Half Precision Score
1826
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 05:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PELADN WI-6 |
| Motherboard | PELADN WI-6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
100% |
1123
208.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1178
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1047
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
2465
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (Q)
|
88% |
1144
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1355
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1296
9.99 IPS |
|
|
Depth Estimation (Q)
|
89% |
2926
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2945
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2892
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
7001
9.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
630
841.1 IPS |
|
|
Text Classification (HP)
|
100% |
655
874.1 IPS |
|
|
Text Classification (Q)
|
92% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1122
19.3 IPS |
