| User | Kos72 |
| Upload Date | April 06 2026 10:07 PM |
| Views | 3 |
| 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% |
6061
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (Q)
|
99% |
8901
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2842
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16826
273.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13678
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5808
6.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
42142
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
5602
444.4 IPS |
|
|
Object Detection (HP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
9971
801.3 IPS |
|
|
Face Detection (SP)
|
100% |
17216
204.6 IPS |
|
|
Face Detection (HP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
15005
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16401
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2778
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26651
212.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31289
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14083
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45315
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4653
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7861
291.1 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4631
93.1 IPS |