User | Benchmarker |
Upload Date | September 06 2025 04:52 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics 605 |
System Information | |
---|---|
Operating System | Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. VivoBook 15_ASUS Laptop X540MA_X540MA |
Motherboard | ASUSTeK COMPUTER INC. X540MA |
CPU Information | |
---|---|
Name | Intel Pentium Silver N5000 |
Topology | 1 Processor, 4 Cores |
Identifier | GenuineIntel Family 6 Model 122 Stepping 1 |
Base Frequency | 1.10 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 4.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
Image Classification (Q)
|
100% |
104
19.3 IPS |
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
Image Segmentation (Q)
|
98% |
202
3.29 IPS |
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
Pose Estimation (HP)
|
100% |
1504
1.76 IPS |
|
Pose Estimation (Q)
|
97% |
910
1.07 IPS |
|
Object Detection (SP)
|
100% |
102
8.08 IPS |
|
Object Detection (HP)
|
98% |
155
12.3 IPS |
|
Object Detection (Q)
|
86% |
94
7.57 IPS |
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
Face Detection (Q)
|
97% |
341
4.07 IPS |
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
Depth Estimation (HP)
|
98% |
753
5.82 IPS |
|
Depth Estimation (Q)
|
77% |
508
4.07 IPS |
|
Style Transfer (SP)
|
100% |
2769
3.56 IPS |
|
Style Transfer (HP)
|
100% |
4170
5.36 IPS |
|
Style Transfer (Q)
|
98% |
2363
3.05 IPS |
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
701
25.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
380
14.1 IPS |
|
Text Classification (SP)
|
100% |
133
178.0 IPS |
|
Text Classification (HP)
|
100% |
93
124.1 IPS |
|
Text Classification (Q)
|
97% |
94
126.4 IPS |
|
Machine Translation (SP)
|
100% |
184
3.17 IPS |
|
Machine Translation (HP)
|
100% |
162
2.80 IPS |
|
Machine Translation (Q)
|
70% |
107
2.01 IPS |