| User | Warblood |
| Upload Date | December 04 2025 05:24 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% |
15454
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
22553
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
13232
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28708
465.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
41430
671.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
25290
411.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
195105
227.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
767981
896.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
171474
200.9 IPS |
|
|
Object Detection (SP)
|
100% |
19518
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
30662
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
16275
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
56894
676.0 IPS |
|
|
Face Detection (HP)
|
100% |
80903
961.3 IPS |
|
|
Face Detection (Q)
|
97% |
46492
554.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96455
743.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
167814
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71778
573.2 IPS |
|
|
Style Transfer (SP)
|
100% |
358909
461.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1143179
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
294368
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53433
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85570
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40424
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2661
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7737
133.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7855
135.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3332
62.5 IPS |