PELADN WI-6
Geekbench AI Score
891
Single Precision Score
478
Half Precision Score
1288
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 05:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
614
114.2 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
99% |
1075
200.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
865
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
2383
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
86% |
987
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
567
6.74 IPS |
|
|
Face Detection (Q)
|
97% |
2196
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
673
5.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
2579
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2839
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2073
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4220
5.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1073
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
549
733.4 IPS |
|
|
Text Classification (HP)
|
100% |
339
452.4 IPS |
|
|
Text Classification (Q)
|
97% |
212
284.1 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1001
20.1 IPS |
