| User | falken1 |
| Upload Date | December 18 2024 10:02 AM |
| Views | 9 |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores |
| 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% |
3878
721.2 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (Q)
|
96% |
5520
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2971
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9436
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7276
8.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
16431
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3718
294.9 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
58% |
4061
443.7 IPS |
|
|
Face Detection (SP)
|
100% |
5954
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
1690
20.1 IPS |
|
|
Face Detection (Q)
|
96% |
8877
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11202
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2452
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12680
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21386
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17207
22.1 IPS |
|
|
Style Transfer (Q)
|
87% |
20521
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3690
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3219
62.2 IPS |