| User | Warblood |
| Upload Date | December 04 2025 02:42 AM |
| Views | 2 |
| 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% |
15100
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
22612
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
13300
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28471
461.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41140
666.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25044
407.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
195198
227.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
762304
889.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
170587
199.8 IPS |
|
|
Object Detection (SP)
|
100% |
19218
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
30378
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
15738
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
55861
663.7 IPS |
|
|
Face Detection (HP)
|
100% |
79942
949.9 IPS |
|
|
Face Detection (Q)
|
97% |
46016
548.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
95280
734.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
164205
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71646
572.1 IPS |
|
|
Style Transfer (SP)
|
100% |
355645
457.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1115123
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
289340
373.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53039
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84999
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40479
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2609
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7732
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7729
133.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3253
61.0 IPS |