| User | audigy |
| Upload Date | August 16 2024 05:16 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2634
489.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
99% |
6161
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
4164
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30189
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18327
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86094
100.9 IPS |
|
|
Object Detection (SP)
|
100% |
3364
266.8 IPS |
|
|
Object Detection (HP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (Q)
|
88% |
3339
267.6 IPS |
|
|
Face Detection (SP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (Q)
|
97% |
7270
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13746
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1635
12.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
17509
141.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47308
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37394
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
56466
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6225
230.5 IPS |
|
|
Text Classification (SP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
602
806.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
4121
91.9 IPS |