Upload Date | November 18 2024 08:23 AM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) UHD Graphics (iGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro Education (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS BR1104FGA BR1104FGA_BR1104FGA |
Motherboard | ASUSTeK COMPUTER INC. BR1104FGA |
CPU Information | |
---|---|
Name | Intel N100 |
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% |
673
125.1 IPS |
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
Image Classification (Q)
|
99% |
1448
270.1 IPS |
|
Image Segmentation (SP)
|
100% |
953
15.4 IPS |
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
Image Segmentation (Q)
|
99% |
1843
29.9 IPS |
|
Pose Estimation (SP)
|
100% |
1586
1.85 IPS |
|
Pose Estimation (HP)
|
99% |
1335
1.56 IPS |
|
Pose Estimation (Q)
|
97% |
4571
5.35 IPS |
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
Object Detection (HP)
|
99% |
1032
81.9 IPS |
|
Object Detection (Q)
|
90% |
1594
127.4 IPS |
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
Face Detection (Q)
|
100% |
4118
48.9 IPS |
|
Depth Estimation (SP)
|
100% |
1982
15.3 IPS |
|
Depth Estimation (HP)
|
98% |
3494
27.0 IPS |
|
Depth Estimation (Q)
|
89% |
4404
34.2 IPS |
|
Style Transfer (SP)
|
100% |
4528
5.82 IPS |
|
Style Transfer (HP)
|
100% |
6921
8.90 IPS |
|
Style Transfer (Q)
|
98% |
11207
14.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
807
29.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
2346
86.9 IPS |
|
Text Classification (SP)
|
71% |
461
667.2 IPS |
|
Text Classification (HP)
|
71% |
560
810.4 IPS |
|
Text Classification (Q)
|
92% |
581
781.0 IPS |
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
Machine Translation (HP)
|
98% |
686
11.8 IPS |
|
Machine Translation (Q)
|
100% |
689
11.9 IPS |