| User | Kos72 |
| Upload Date | March 22 2026 01:41 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% |
5918
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (Q)
|
99% |
8771
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16731
272.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13636
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5582
6.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
42957
50.4 IPS |
|
|
Object Detection (SP)
|
100% |
5562
441.2 IPS |
|
|
Object Detection (HP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (Q)
|
86% |
10061
808.6 IPS |
|
|
Face Detection (SP)
|
100% |
17049
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
14908
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16378
126.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2770
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26306
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30961
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13797
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
45622
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7788
288.4 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1927
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4556
91.5 IPS |