| Upload Date | March 09 2025 02:14 PM |
| Views | 19 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15261
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22359
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
13239
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25194
408.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34865
565.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23843
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
239057
278.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
718073
837.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
201838
236.4 IPS |
|
|
Object Detection (SP)
|
100% |
20830
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
31362
2.49 KIPS |
|
|
Object Detection (Q)
|
86% |
17733
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
56671
673.4 IPS |
|
|
Face Detection (HP)
|
100% |
80185
952.8 IPS |
|
|
Face Detection (Q)
|
97% |
46583
555.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
95139
733.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
178981
1.38 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70394
562.1 IPS |
|
|
Style Transfer (SP)
|
100% |
350108
450.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1183890
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
309112
398.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59727
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90774
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44382
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2501
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6538
112.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2994
56.2 IPS |