| User | Majki77 |
| Upload Date | January 12 2026 01:07 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| 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% |
6090
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (Q)
|
99% |
9147
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2822
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16744
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14296
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
43995
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
5608
444.9 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
86% |
10359
832.5 IPS |
|
|
Face Detection (SP)
|
100% |
17576
208.8 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
15394
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16697
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2831
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23551
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32421
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14092
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39975
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5186
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8077
299.1 IPS |
|
|
Text Classification (SP)
|
100% |
2007
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1884
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2957
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4724
94.9 IPS |