| Upload Date | December 12 2025 10:16 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z490-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12211
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
14565
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
10243
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16780
272.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17631
285.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15549
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
331391
386.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
707989
826.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
271841
318.4 IPS |
|
|
Object Detection (SP)
|
100% |
15239
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
17648
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
11743
946.1 IPS |
|
|
Face Detection (SP)
|
100% |
36119
429.2 IPS |
|
|
Face Detection (HP)
|
100% |
45644
542.4 IPS |
|
|
Face Detection (Q)
|
97% |
31436
374.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80806
622.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
130721
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66546
533.0 IPS |
|
|
Style Transfer (SP)
|
100% |
507525
652.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1098045
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
434507
560.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57047
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70216
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43651
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3345
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3776
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3818
65.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2048
38.4 IPS |