| User | Ale |
| Upload Date | November 04 2025 08:01 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14370
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
15304
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
11398
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25285
409.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23100
374.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22388
364.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
268915
313.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
428249
499.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
244191
286.0 IPS |
|
|
Object Detection (SP)
|
100% |
17372
1.38 KIPS |
|
|
Object Detection (HP)
|
99% |
18996
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
14271
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
47684
566.6 IPS |
|
|
Face Detection (HP)
|
100% |
53729
638.4 IPS |
|
|
Face Detection (Q)
|
97% |
41513
495.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74362
572.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96071
740.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
56078
449.4 IPS |
|
|
Style Transfer (SP)
|
100% |
440948
566.8 IPS |
|
|
Style Transfer (HP)
|
100% |
680529
874.8 IPS |
|
|
Style Transfer (Q)
|
98% |
376795
485.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48058
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61914
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34163
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2260
42.4 IPS |