| User | Creapure |
| Upload Date | April 21 2025 07:24 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3287
611.3 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
99% |
6387
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3524
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8804
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4780
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
28136
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3683
292.1 IPS |
|
|
Object Detection (HP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
86% |
6474
520.3 IPS |
|
|
Face Detection (SP)
|
100% |
9698
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
9710
115.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10909
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2499
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18181
145.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21809
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11715
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30241
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3999
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5415
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.6 IPS |
|
|
Text Classification (Q)
|
97% |
642
859.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2714
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3607
72.5 IPS |