| Upload Date | October 29 2025 01:24 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Rendiment alt |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10741
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10325
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
8870
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10583
171.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12091
196.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12079
196.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
195046
227.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
284246
331.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
162595
190.5 IPS |
|
|
Object Detection (SP)
|
100% |
11536
915.1 IPS |
|
|
Object Detection (HP)
|
100% |
11624
922.1 IPS |
|
|
Object Detection (Q)
|
87% |
9806
787.6 IPS |
|
|
Face Detection (SP)
|
100% |
30331
360.4 IPS |
|
|
Face Detection (HP)
|
100% |
32382
384.8 IPS |
|
|
Face Detection (Q)
|
97% |
25414
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68456
527.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73172
563.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
51582
414.2 IPS |
|
|
Style Transfer (SP)
|
100% |
333343
428.5 IPS |
|
|
Style Transfer (HP)
|
100% |
426849
548.7 IPS |
|
|
Style Transfer (Q)
|
98% |
267482
344.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37892
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42870
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27928
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2355
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2406
45.1 IPS |