| User | mvildosola |
| Upload Date | September 05 2025 12:24 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
869
161.6 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.0 IPS |
|
|
Image Classification (Q)
|
99% |
1928
359.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2552
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
1806
2.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
6165
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (HP)
|
99% |
1357
107.6 IPS |
|
|
Object Detection (Q)
|
90% |
2108
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
5346
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2663
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4761
36.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
6053
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6053
7.78 IPS |
|
|
Style Transfer (HP)
|
100% |
9285
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15159
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3109
115.1 IPS |
|
|
Text Classification (SP)
|
71% |
574
830.9 IPS |
|
|
Text Classification (HP)
|
71% |
705
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
736
988.4 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
98% |
1195
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1190
20.5 IPS |