| User | Warblood |
| Upload Date | November 20 2025 04:50 PM |
| Views | 3 |
| 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% |
15051
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22619
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
13312
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28489
461.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
41281
669.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25105
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
195554
228.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
766312
894.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
174784
204.7 IPS |
|
|
Object Detection (SP)
|
100% |
19016
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
29922
2.37 KIPS |
|
|
Object Detection (Q)
|
86% |
15781
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55642
661.1 IPS |
|
|
Face Detection (HP)
|
100% |
79295
942.2 IPS |
|
|
Face Detection (Q)
|
97% |
45751
545.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
95192
733.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
166392
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71575
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
354499
455.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1120407
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
292031
376.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53078
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85367
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40242
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4304
5.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2680
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
7725
133.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7794
134.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3297
61.8 IPS |