| User | falken1 |
| Upload Date | August 24 2024 09:59 PM |
| Views | 10 |
| 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% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
97% |
3421
638.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
2584
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (Q)
|
87% |
16404
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2777
220.3 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
2257
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.57 IPS |
|
|
Face Detection (Q)
|
96% |
4517
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9541
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1005
7.74 IPS |
|
|
Depth Estimation (Q)
|
76% |
7774
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21788
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17342
22.3 IPS |
|
|
Style Transfer (Q)
|
87% |
20067
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2764
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3742
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
504
674.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2337
52.1 IPS |