| User | falken1 |
| Upload Date | August 26 2024 09:36 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII HERO (WI-FI) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2382
443.0 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
97% |
3569
666.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
2471
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7622
8.89 IPS |
|
|
Pose Estimation (Q)
|
87% |
17013
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2870
227.6 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
86% |
2376
191.0 IPS |
|
|
Face Detection (SP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
308
3.67 IPS |
|
|
Face Detection (Q)
|
96% |
4751
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9841
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1038
7.99 IPS |
|
|
Depth Estimation (Q)
|
76% |
7947
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22755
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17843
22.9 IPS |
|
|
Style Transfer (Q)
|
87% |
20810
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3794
140.6 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
523
700.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2412
53.8 IPS |