| User | Warblood |
| Upload Date | November 19 2025 02:42 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% |
15104
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
22754
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
13405
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28531
462.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41400
671.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25105
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
196646
229.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
765723
893.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
175342
205.4 IPS |
|
|
Object Detection (SP)
|
100% |
19111
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
30043
2.38 KIPS |
|
|
Object Detection (Q)
|
86% |
15741
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
55949
664.8 IPS |
|
|
Face Detection (HP)
|
100% |
79456
944.1 IPS |
|
|
Face Detection (Q)
|
97% |
46031
548.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
95833
738.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
167326
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
72188
576.4 IPS |
|
|
Style Transfer (SP)
|
100% |
357290
459.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1127537
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
295303
380.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52990
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85395
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40599
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4302
5.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5354
7.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2649
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7701
132.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7765
133.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3304
62.0 IPS |