| User | Promoter |
| Upload Date | March 18 2026 11:18 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3902
725.7 IPS |
|
|
Image Classification (HP)
|
99% |
7621
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
3283
612.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5624
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8893
144.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4639
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
39020
45.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
132575
154.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32596
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4430
351.4 IPS |
|
|
Object Detection (HP)
|
100% |
9255
734.1 IPS |
|
|
Object Detection (Q)
|
84% |
3693
297.8 IPS |
|
|
Face Detection (SP)
|
100% |
9685
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
16831
200.0 IPS |
|
|
Face Detection (Q)
|
97% |
7876
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21956
169.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47551
366.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16280
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
68499
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
185801
238.9 IPS |
|
|
Style Transfer (Q)
|
98% |
54037
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13759
508.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25831
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8431
312.2 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1208
22.7 IPS |