| User | crisrich58 |
| Upload Date | February 12 2025 05:21 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10240
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
15731
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
9264
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15162
245.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18649
302.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13967
227.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
149653
174.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
330722
385.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
133203
156.1 IPS |
|
|
Object Detection (SP)
|
100% |
12695
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19207
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
10883
876.1 IPS |
|
|
Face Detection (SP)
|
100% |
31139
370.0 IPS |
|
|
Face Detection (HP)
|
100% |
41390
491.8 IPS |
|
|
Face Detection (Q)
|
97% |
27050
322.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64371
495.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105926
816.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
50630
404.3 IPS |
|
|
Style Transfer (SP)
|
100% |
260188
334.5 IPS |
|
|
Style Transfer (HP)
|
100% |
544252
699.6 IPS |
|
|
Style Transfer (Q)
|
98% |
229522
296.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45272
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54749
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32462
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4853
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2284
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4267
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2233
41.9 IPS |