| User | selyob46 |
| Upload Date | September 02 2025 02:44 AM |
| Views | 7 |
| 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 STRIX X870E-E GAMING WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5209
968.6 IPS |
|
|
Image Classification (HP)
|
100% |
953
177.3 IPS |
|
|
Image Classification (Q)
|
99% |
13497
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18907
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23759
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14424
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
78449
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
5161
409.4 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
14291
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
9984
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
14854
177.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17575
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4152
32.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
31974
255.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38677
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37233
47.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47627
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2653
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4515
90.7 IPS |