| Upload Date | February 01 2026 12:36 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-A WIFI |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5315
988.4 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
99% |
8258
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14875
241.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12898
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5370
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
39614
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
5008
397.2 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
9160
736.2 IPS |
|
|
Face Detection (SP)
|
100% |
15746
187.1 IPS |
|
|
Face Detection (HP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
14078
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14921
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2566
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23521
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29090
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12925
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
37264
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2463
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7292
270.0 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1794
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4231
85.0 IPS |