| User | chaton22 |
| Upload Date | August 20 2024 08:43 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Entreprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XI APEX |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2252
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
97% |
3013
562.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
2264
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7838
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
13286
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
2018
162.2 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
96% |
4364
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7986
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
949
7.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
6552
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18252
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14823
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
18017
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3397
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.7 IPS |
|
|
Text Classification (Q)
|
97% |
539
721.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2012
44.9 IPS |