| User | Kos72 |
| Upload Date | February 10 2025 05:54 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5806
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (Q)
|
99% |
8529
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4623
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13889
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
44095
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
5491
435.6 IPS |
|
|
Object Detection (HP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (Q)
|
86% |
8221
660.7 IPS |
|
|
Face Detection (SP)
|
100% |
16032
190.5 IPS |
|
|
Face Detection (HP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
14364
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16713
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2867
22.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26455
211.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33637
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14256
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44847
57.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7125
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
817
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4189
84.2 IPS |