User | icemc |
Upload Date | December 20 2024 10:13 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i9-11900 |
System Information | |
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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% |
1359
252.7 IPS |
|
Image Classification (HP)
|
100% |
406
75.5 IPS |
|
Image Classification (Q)
|
99% |
3351
625.1 IPS |
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
Image Segmentation (Q)
|
98% |
2520
41.0 IPS |
|
Pose Estimation (SP)
|
100% |
4432
5.17 IPS |
|
Pose Estimation (HP)
|
100% |
4071
4.75 IPS |
|
Pose Estimation (Q)
|
95% |
18515
21.7 IPS |
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
Object Detection (Q)
|
88% |
1950
156.3 IPS |
|
Face Detection (SP)
|
100% |
2362
28.1 IPS |
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
Face Detection (Q)
|
97% |
4067
48.5 IPS |
|
Depth Estimation (SP)
|
100% |
6076
46.8 IPS |
|
Depth Estimation (HP)
|
99% |
1763
13.6 IPS |
|
Depth Estimation (Q)
|
77% |
7020
56.2 IPS |
|
Style Transfer (SP)
|
100% |
13205
17.0 IPS |
|
Style Transfer (HP)
|
100% |
9088
11.7 IPS |
|
Style Transfer (Q)
|
98% |
18891
24.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
2182
80.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
3581
132.6 IPS |
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
Text Classification (HP)
|
100% |
592
790.6 IPS |
|
Text Classification (Q)
|
97% |
434
581.4 IPS |
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
Machine Translation (Q)
|
60% |
1691
37.7 IPS |