| User | firecall |
| Upload Date | January 06 2025 01:14 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 750 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
610
113.5 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
100% |
535
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4750
5.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
2919
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
98% |
578
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
577
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
985
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2555
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2858
22.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1881
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8856
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12220
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
6466
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
767
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.9 IPS |
|
|
Text Classification (HP)
|
100% |
338
451.3 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.4 IPS |
|
|
Machine Translation (SP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
70% |
331
6.22 IPS |