| User | Warblood |
| Upload Date | November 21 2025 12:42 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15243
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22805
4.24 KIPS |
|
|
Image Classification (Q)
|
100% |
13513
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28604
463.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
41241
668.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
25085
407.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
195568
228.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
769180
897.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
176206
206.4 IPS |
|
|
Object Detection (SP)
|
100% |
18987
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
30132
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15735
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
55826
663.3 IPS |
|
|
Face Detection (HP)
|
100% |
80221
953.2 IPS |
|
|
Face Detection (Q)
|
97% |
45863
546.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
96008
739.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
167373
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71942
574.5 IPS |
|
|
Style Transfer (SP)
|
100% |
359288
461.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1125937
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
293701
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53141
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85402
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40441
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4296
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2667
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
7724
133.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7777
134.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3302
61.9 IPS |