| Upload Date | November 06 2025 08:07 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-F GAMING |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12133
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15650
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
10066
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18566
301.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22663
367.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17319
281.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
250552
292.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
665373
776.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
215796
252.8 IPS |
|
|
Object Detection (SP)
|
100% |
15082
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
20311
1.61 KIPS |
|
|
Object Detection (Q)
|
86% |
13174
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
40973
486.9 IPS |
|
|
Face Detection (HP)
|
100% |
50651
601.8 IPS |
|
|
Face Detection (Q)
|
97% |
35433
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
90687
698.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155156
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68665
548.3 IPS |
|
|
Style Transfer (SP)
|
100% |
364185
468.2 IPS |
|
|
Style Transfer (HP)
|
100% |
939276
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
315847
407.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51124
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70426
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39416
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2192
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4339
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4348
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2483
46.6 IPS |