| User | Kos72 |
| Upload Date | April 06 2026 10:22 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
6054
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (Q)
|
99% |
9095
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2860
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16851
274.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13916
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
43927
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
5649
448.1 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.4 IPS |
|
|
Object Detection (Q)
|
86% |
9977
801.8 IPS |
|
|
Face Detection (SP)
|
100% |
17705
210.4 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
15153
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16869
130.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2731
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
26856
214.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31629
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14202
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
44297
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4818
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2775
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7967
295.0 IPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4595
92.3 IPS |