| User | mfurse |
| Upload Date | April 05 2025 10:45 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5640
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
890
165.5 IPS |
|
|
Image Classification (Q)
|
99% |
14004
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5717
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27466
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16806
19.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
81620
95.7 IPS |
|
|
Object Detection (SP)
|
100% |
6133
486.5 IPS |
|
|
Object Detection (HP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (Q)
|
86% |
15485
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
11048
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
15915
189.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20635
159.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4305
33.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
33744
269.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49854
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38259
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
55084
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6582
243.7 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1941
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
7049
141.6 IPS |