| User | linne |
| Upload Date | March 23 2025 11:21 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6361
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
8802
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
4449
829.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9865
159.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12875
208.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8019
130.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
94645
110.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
275185
321.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75718
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
7295
578.6 IPS |
|
|
Object Detection (HP)
|
100% |
10792
856.1 IPS |
|
|
Object Detection (Q)
|
85% |
5752
463.0 IPS |
|
|
Face Detection (SP)
|
100% |
19560
232.4 IPS |
|
|
Face Detection (HP)
|
100% |
26305
312.6 IPS |
|
|
Face Detection (Q)
|
97% |
13690
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43234
333.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
67369
519.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
27740
222.2 IPS |
|
|
Style Transfer (SP)
|
100% |
170599
219.3 IPS |
|
|
Style Transfer (HP)
|
100% |
370121
475.8 IPS |
|
|
Style Transfer (Q)
|
98% |
134871
173.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25558
943.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34913
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14764
546.7 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
99% |
2571
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1130
21.2 IPS |