| User | i0ntempest |
| Upload Date | July 15 2025 05:19 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6451
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
11931
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
5778
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11556
187.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16856
273.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10429
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
63685
74.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
210735
245.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57692
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
8200
650.4 IPS |
|
|
Object Detection (HP)
|
100% |
13955
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
7261
585.7 IPS |
|
|
Face Detection (SP)
|
100% |
19196
228.1 IPS |
|
|
Face Detection (HP)
|
100% |
32261
383.3 IPS |
|
|
Face Detection (Q)
|
97% |
17178
204.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36256
279.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71989
554.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30104
240.8 IPS |
|
|
Style Transfer (SP)
|
100% |
116924
150.3 IPS |
|
|
Style Transfer (HP)
|
100% |
297730
382.7 IPS |
|
|
Style Transfer (Q)
|
98% |
103739
133.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24744
913.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42204
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18051
668.4 IPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1868
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1802
33.8 IPS |