| Upload Date | July 10 2025 02:09 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6575
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
13364
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
5842
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10895
176.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17290
280.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10338
168.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69458
81.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
241938
282.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
68651
80.5 IPS |
|
|
Object Detection (SP)
|
100% |
8682
688.6 IPS |
|
|
Object Detection (HP)
|
100% |
15561
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
7811
625.7 IPS |
|
|
Face Detection (SP)
|
100% |
18618
221.2 IPS |
|
|
Face Detection (HP)
|
100% |
31013
368.5 IPS |
|
|
Face Detection (Q)
|
97% |
15457
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37257
287.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83917
646.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
30006
248.6 IPS |
|
|
Style Transfer (SP)
|
100% |
109284
140.5 IPS |
|
|
Style Transfer (HP)
|
100% |
396212
509.3 IPS |
|
|
Style Transfer (Q)
|
98% |
92909
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22641
836.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49424
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18084
669.6 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4456
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2241
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4363
75.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1639
36.5 IPS |