| User | xyviolin |
| Upload Date | October 04 2025 10:42 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3909
726.9 IPS |
|
|
Image Classification (HP)
|
100% |
3994
742.7 IPS |
|
|
Image Classification (Q)
|
99% |
3211
598.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6140
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5781
93.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4962
80.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36899
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24730
28.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31354
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4606
365.4 IPS |
|
|
Object Detection (HP)
|
100% |
4723
374.6 IPS |
|
|
Object Detection (Q)
|
83% |
3757
303.6 IPS |
|
|
Face Detection (SP)
|
100% |
9125
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
9514
113.1 IPS |
|
|
Face Detection (Q)
|
97% |
7571
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21212
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17239
132.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15945
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
69147
88.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48189
61.9 IPS |
|
|
Style Transfer (Q)
|
98% |
55275
71.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13262
489.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11173
412.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8569
317.3 IPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3384
58.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1292
24.2 IPS |