| User | falken1 |
| Upload Date | August 25 2024 10:43 AM |
| 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% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
97% |
3441
642.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
2406
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9408
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7390
8.62 IPS |
|
|
Pose Estimation (Q)
|
87% |
16291
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
86% |
2209
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (Q)
|
96% |
4426
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9242
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
76% |
7666
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21532
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17193
22.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19556
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2751
101.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3678
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
747
996.8 IPS |
|
|
Text Classification (Q)
|
97% |
503
674.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2271
50.7 IPS |