| User | compaqdrew |
| Upload Date | September 27 2024 07:22 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
449
83.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4661
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4926
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
3070
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.5 IPS |
|
|
Object Detection (HP)
|
98% |
553
44.0 IPS |
|
|
Object Detection (Q)
|
89% |
489
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
840
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2607
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2905
22.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
1887
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9374
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12452
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
6913
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
809
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
708
945.3 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.9 IPS |
|
|
Text Classification (Q)
|
97% |
353
473.1 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
60% |
255
5.68 IPS |