| User | GyBHard |
| Upload Date | January 17 2026 03:20 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
770
143.1 IPS |
|
|
Image Classification (Q)
|
100% |
628
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5266
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5779
6.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3542
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (HP)
|
98% |
709
56.4 IPS |
|
|
Object Detection (Q)
|
86% |
698
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1829
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1246
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3131
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3469
26.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2311
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10817
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14584
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8060
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
945
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.6 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.7 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
402
7.54 IPS |