| User | drive5600x |
| Upload Date | September 16 2025 09:18 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| 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% |
5221
971.0 IPS |
|
|
Image Classification (HP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (Q)
|
99% |
12919
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4788
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9724
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8387
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
42930
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
6011
476.8 IPS |
|
|
Object Detection (HP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (Q)
|
86% |
13524
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
14632
173.9 IPS |
|
|
Face Detection (HP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
13998
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13792
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3717
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
31021
247.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24651
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17877
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32813
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6229
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6408
128.8 IPS |