| Upload Date | November 03 2025 05:56 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680M-ACE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4992
928.4 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (Q)
|
99% |
7610
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13773
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10508
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5097
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
31738
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4292
340.4 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (Q)
|
86% |
7201
578.7 IPS |
|
|
Face Detection (SP)
|
100% |
12465
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
1967
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
12401
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13643
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20636
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26806
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12169
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31245
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2241
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6647
246.1 IPS |
|
|
Text Classification (SP)
|
100% |
1698
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1631
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3912
78.6 IPS |