User | icemc |
Upload Date | December 20 2024 10:31 PM |
Views | 6 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics 750 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Education (64-bit) |
Model | HP HP Z1 G8 Tower Desktop PC |
Motherboard | HP 889C |
Power Plan | Bitsum Highest Performance |
CPU Information | |
---|---|
Name | Intel Core i9-11900 |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
Base Frequency | 2.50 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
548
101.8 IPS |
|
Image Classification (HP)
|
100% |
559
103.9 IPS |
|
Image Classification (Q)
|
99% |
444
82.9 IPS |
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
Image Segmentation (Q)
|
98% |
644
10.5 IPS |
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
Pose Estimation (HP)
|
100% |
4828
5.63 IPS |
|
Pose Estimation (Q)
|
96% |
2975
3.49 IPS |
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
Object Detection (HP)
|
98% |
545
43.3 IPS |
|
Object Detection (Q)
|
89% |
487
39.0 IPS |
|
Face Detection (SP)
|
100% |
1192
14.2 IPS |
|
Face Detection (HP)
|
100% |
1294
15.4 IPS |
|
Face Detection (Q)
|
97% |
842
10.0 IPS |
|
Depth Estimation (SP)
|
100% |
2454
18.9 IPS |
|
Depth Estimation (HP)
|
98% |
2730
21.1 IPS |
|
Depth Estimation (Q)
|
76% |
1781
14.3 IPS |
|
Style Transfer (SP)
|
100% |
8971
11.5 IPS |
|
Style Transfer (HP)
|
100% |
12227
15.7 IPS |
|
Style Transfer (Q)
|
98% |
6659
8.59 IPS |
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
2106
77.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
767
28.4 IPS |
|
Text Classification (SP)
|
100% |
601
802.6 IPS |
|
Text Classification (HP)
|
100% |
321
428.0 IPS |
|
Text Classification (Q)
|
97% |
330
442.5 IPS |
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
Machine Translation (Q)
|
60% |
278
6.19 IPS |