| User | lmeyler |
| Upload Date | October 08 2025 03:56 PM |
| Views | 23 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5009
931.6 IPS |
|
|
Image Classification (HP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (Q)
|
99% |
11926
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17937
291.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27635
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16994
19.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
81854
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
5415
429.5 IPS |
|
|
Object Detection (HP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (Q)
|
86% |
13118
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
9578
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
15028
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17467
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4376
33.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29487
235.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45222
58.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36475
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43134
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3302
121.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2025
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3989
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5012
100.7 IPS |