| Upload Date | April 16 2025 10:44 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 | High performance |
| 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 | 5.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15165
2.82 KIPS |
|
|
Image Classification (HP)
|
99% |
20399
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12767
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28482
461.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36961
599.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
26205
426.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
326479
380.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
572851
668.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
282026
330.4 IPS |
|
|
Object Detection (SP)
|
100% |
21252
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
28519
2.26 KIPS |
|
|
Object Detection (Q)
|
86% |
17480
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
62140
738.4 IPS |
|
|
Face Detection (HP)
|
100% |
81473
968.1 IPS |
|
|
Face Detection (Q)
|
97% |
51705
616.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
97753
753.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
168210
1.30 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71559
572.3 IPS |
|
|
Style Transfer (SP)
|
100% |
587524
755.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1169702
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
499560
644.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63077
2.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84857
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45605
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2239
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6517
112.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |