| User | AVk |
| Upload Date | December 07 2025 10:43 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PCSpecialist Ultra 711 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P |
| Power Plan | Balansert |
| 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% |
14482
2.69 KIPS |
|
|
Image Classification (HP)
|
100% |
18849
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
12532
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32268
523.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
40644
658.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28910
470.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
358222
418.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
810245
945.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
276214
323.5 IPS |
|
|
Object Detection (SP)
|
100% |
20499
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
27161
2.15 KIPS |
|
|
Object Detection (Q)
|
85% |
17088
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
58473
694.8 IPS |
|
|
Face Detection (HP)
|
100% |
72276
858.8 IPS |
|
|
Face Detection (Q)
|
97% |
46314
552.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
93176
717.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
167135
1.29 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68289
547.0 IPS |
|
|
Style Transfer (SP)
|
100% |
515059
662.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1373797
1.77 KIPS |
|
|
Style Transfer (Q)
|
98% |
413295
532.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62453
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85097
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46050
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4527
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2221
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2945
55.2 IPS |