| User | kasid |
| Upload Date | September 21 2025 06:53 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
567
105.4 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (Q)
|
100% |
488
90.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
654
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4228
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2676
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
98% |
562
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
542
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
1326
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1023
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2405
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2648
20.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1850
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7627
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
10680
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5983
7.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
757
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.1 IPS |
|
|
Text Classification (HP)
|
100% |
396
528.1 IPS |
|
|
Text Classification (Q)
|
97% |
352
471.5 IPS |
|
|
Machine Translation (SP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (Q)
|
70% |
327
6.14 IPS |