PELADN WI-6
Geekbench AI Score
614
Single Precision Score
346
Half Precision Score
1057
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | 420homestead |
| Upload Date | August 11 2025 09:37 AM |
| 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 | High performance |
| 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% |
434
80.7 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
935
174.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
918
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
819
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
1820
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
86% |
591
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
1365
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
480
3.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
1900
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2482
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1753
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2992
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
357
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
777
28.8 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.2 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.6 IPS |
|
|
Text Classification (Q)
|
97% |
440
588.8 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (Q)
|
65% |
717
14.4 IPS |
