| User | leeghoofd |
| Upload Date | August 12 2025 08:25 PM |
| Views | 12 |
| 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. ROG MAXIMUS Z790 APEX |
| Power Plan | Gebalanceerd |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4954
921.3 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (Q)
|
99% |
7542
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13856
225.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11833
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
37463
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
4663
369.9 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
86% |
8568
688.6 IPS |
|
|
Face Detection (SP)
|
100% |
14492
172.2 IPS |
|
|
Face Detection (HP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
12913
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13976
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2384
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21114
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26791
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12096
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30253
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6913
256.0 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3990
80.2 IPS |