| User | ricnecro |
| Upload Date | October 19 2024 08:26 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z590-E GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4098
762.1 IPS |
|
|
Image Classification (HP)
|
100% |
7361
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
3460
643.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7879
127.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10670
173.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6284
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
55055
64.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
143570
167.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
45989
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
5588
443.3 IPS |
|
|
Object Detection (HP)
|
100% |
8954
710.2 IPS |
|
|
Object Detection (Q)
|
89% |
3892
311.5 IPS |
|
|
Face Detection (SP)
|
100% |
12168
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
19565
232.5 IPS |
|
|
Face Detection (Q)
|
97% |
9535
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27734
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50072
385.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
19098
153.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96255
123.7 IPS |
|
|
Style Transfer (HP)
|
100% |
214216
275.4 IPS |
|
|
Style Transfer (Q)
|
98% |
79504
102.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15583
575.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27317
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9994
370.0 IPS |
|
|
Text Classification (SP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (HP)
|
99% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
97% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1020
22.8 IPS |