| Upload Date | January 26 2026 08:56 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1204FTA |
| Motherboard | ASUSTeK COMPUTER INC. BR1204FTA |
| 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 | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (Q)
|
99% |
888
165.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1318
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
2378
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
86% |
1016
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
2173
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1168
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
1925
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1617
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1383
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
3020
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1037
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
528
704.6 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.4 IPS |
|
|
Text Classification (Q)
|
97% |
659
882.9 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
65% |
867
17.4 IPS |