| User | Warblood |
| Upload Date | December 06 2025 08:31 PM |
| 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% |
15294
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22496
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
13481
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28653
464.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41303
669.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
25160
409.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
195222
227.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
763071
890.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
173230
202.9 IPS |
|
|
Object Detection (SP)
|
100% |
19174
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
30235
2.40 KIPS |
|
|
Object Detection (Q)
|
86% |
15925
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
56581
672.3 IPS |
|
|
Face Detection (HP)
|
100% |
80423
955.6 IPS |
|
|
Face Detection (Q)
|
97% |
46642
556.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
96563
744.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
166256
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
72459
578.6 IPS |
|
|
Style Transfer (SP)
|
100% |
356532
458.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1133220
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
293460
378.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53018
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85569
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40165
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
4214
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2639
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
7752
133.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7746
133.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3294
61.8 IPS |