| User | ShowXTech |
| Upload Date | June 18 2025 01:21 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VII HERO (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4416
821.3 IPS |
|
|
Image Classification (HP)
|
99% |
7417
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3553
662.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6353
103.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9413
152.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5259
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
50033
58.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153531
179.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
41324
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
5246
416.1 IPS |
|
|
Object Detection (HP)
|
100% |
9130
724.2 IPS |
|
|
Object Detection (Q)
|
84% |
4198
338.6 IPS |
|
|
Face Detection (SP)
|
100% |
11329
134.6 IPS |
|
|
Face Detection (HP)
|
100% |
17964
213.5 IPS |
|
|
Face Detection (Q)
|
97% |
9294
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25583
197.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50142
387.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
18165
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84393
108.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203956
262.2 IPS |
|
|
Style Transfer (Q)
|
98% |
66422
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16161
596.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26054
962.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9721
360.0 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1122
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1204
22.6 IPS |