| User | BrickOfReality |
| Upload Date | November 02 2025 10:28 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi |
| Motherboard | ASRock Z890 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13351
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
20810
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
12181
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26238
425.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
38361
621.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22868
371.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
177194
206.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
685254
799.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
160390
187.9 IPS |
|
|
Object Detection (SP)
|
100% |
16746
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
26677
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
13974
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
50422
599.1 IPS |
|
|
Face Detection (HP)
|
100% |
73008
867.5 IPS |
|
|
Face Detection (Q)
|
97% |
41969
500.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84482
650.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
148729
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64266
513.2 IPS |
|
|
Style Transfer (SP)
|
100% |
322788
414.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1012995
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
268451
346.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47064
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77521
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36172
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4964
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2353
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6992
120.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6907
119.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3070
57.6 IPS |