| User | Warblood |
| Upload Date | November 26 2025 01:14 PM |
| Views | 5 |
| 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% |
15069
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22539
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
13292
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28518
462.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
41354
670.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25154
409.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
194644
227.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
764835
892.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
176345
206.6 IPS |
|
|
Object Detection (SP)
|
100% |
19225
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
30308
2.40 KIPS |
|
|
Object Detection (Q)
|
86% |
15747
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55820
663.3 IPS |
|
|
Face Detection (HP)
|
100% |
79064
939.5 IPS |
|
|
Face Detection (Q)
|
97% |
45969
548.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
95146
733.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
167255
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71905
574.2 IPS |
|
|
Style Transfer (SP)
|
100% |
352212
452.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1127537
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
294296
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52871
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84860
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40266
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2639
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
7728
133.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3304
62.0 IPS |