| User | xyviolin |
| Upload Date | September 15 2025 03:35 PM |
| Views | 5 |
| 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% |
3941
732.9 IPS |
|
|
Image Classification (HP)
|
100% |
4001
744.0 IPS |
|
|
Image Classification (Q)
|
99% |
3216
599.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6131
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5759
93.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4974
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37034
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24868
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31335
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4582
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
4757
377.3 IPS |
|
|
Object Detection (Q)
|
83% |
3788
306.0 IPS |
|
|
Face Detection (SP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
9608
114.2 IPS |
|
|
Face Detection (Q)
|
97% |
7630
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21479
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17367
133.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16018
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68877
88.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48343
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55597
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13354
493.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11197
413.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8564
317.1 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3361
58.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1303
24.4 IPS |