| User | Kos72 |
| Upload Date | March 21 2026 09:24 PM |
| Views | 6 |
| 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% |
5837
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (Q)
|
99% |
8983
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16940
275.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13615
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5660
6.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
44789
52.5 IPS |
|
|
Object Detection (SP)
|
100% |
5674
450.1 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
9254
743.8 IPS |
|
|
Face Detection (SP)
|
100% |
17749
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
14964
178.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16399
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25640
204.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31771
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13727
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44972
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4569
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2656
98.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7785
288.3 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4687
94.2 IPS |