User | paultissue |
Upload Date | September 03 2025 10:53 PM |
Views | 9 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics 630 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 81LL |
Motherboard | LENOVO LNVNB161216 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core i7-9750H |
Topology | 1 Processor, 6 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
Base Frequency | 2.59 GHz |
Cluster 1 | 6 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
398
73.9 IPS |
|
Image Classification (HP)
|
100% |
462
86.0 IPS |
|
Image Classification (Q)
|
100% |
383
71.2 IPS |
|
Image Segmentation (SP)
|
100% |
567
9.20 IPS |
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
Image Segmentation (Q)
|
98% |
468
7.62 IPS |
|
Pose Estimation (SP)
|
100% |
2282
2.66 IPS |
|
Pose Estimation (HP)
|
100% |
3648
4.26 IPS |
|
Pose Estimation (Q)
|
97% |
2032
2.38 IPS |
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
Object Detection (HP)
|
98% |
500
39.8 IPS |
|
Object Detection (Q)
|
86% |
447
35.9 IPS |
|
Face Detection (SP)
|
100% |
854
10.1 IPS |
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
Face Detection (Q)
|
97% |
706
8.42 IPS |
|
Depth Estimation (SP)
|
100% |
1736
13.4 IPS |
|
Depth Estimation (HP)
|
98% |
2153
16.6 IPS |
|
Depth Estimation (Q)
|
77% |
1488
11.9 IPS |
|
Style Transfer (SP)
|
100% |
5918
7.61 IPS |
|
Style Transfer (HP)
|
100% |
8882
11.4 IPS |
|
Style Transfer (Q)
|
98% |
4935
6.36 IPS |
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
1671
61.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
900
33.3 IPS |
|
Text Classification (SP)
|
100% |
487
649.4 IPS |
|
Text Classification (HP)
|
100% |
316
422.4 IPS |
|
Text Classification (Q)
|
97% |
293
391.9 IPS |
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
Machine Translation (Q)
|
70% |
273
5.13 IPS |