| User | Nickneutrino |
| Upload Date | October 29 2025 01:09 PM |
| Views | 7 |
| 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 | Estalvi d'energia |
| 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% |
10477
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
10006
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13948
226.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12052
195.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12038
195.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
192423
224.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
284514
332.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
161844
189.6 IPS |
|
|
Object Detection (SP)
|
100% |
11105
880.8 IPS |
|
|
Object Detection (HP)
|
100% |
11317
897.7 IPS |
|
|
Object Detection (Q)
|
87% |
9518
764.4 IPS |
|
|
Face Detection (SP)
|
100% |
30107
357.7 IPS |
|
|
Face Detection (HP)
|
100% |
31876
378.8 IPS |
|
|
Face Detection (Q)
|
97% |
25264
301.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68270
526.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72582
559.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
51334
412.2 IPS |
|
|
Style Transfer (SP)
|
100% |
331704
426.4 IPS |
|
|
Style Transfer (HP)
|
100% |
429690
552.4 IPS |
|
|
Style Transfer (Q)
|
98% |
267230
344.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37073
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42084
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27587
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2387
44.8 IPS |