| User | audigy |
| Upload Date | August 16 2024 01:37 PM |
| Views | 17 |
| 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% |
2677
497.8 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.7 IPS |
|
|
Image Classification (Q)
|
99% |
6074
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2907
47.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
4172
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30421
35.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18344
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86560
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
3393
269.1 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
88% |
3307
265.1 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (Q)
|
97% |
7291
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14758
113.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
16608
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47659
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38592
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54966
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4242
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6601
244.4 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
621
831.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
990
17.0 IPS |
|
|
Machine Translation (Q)
|
60% |
4018
89.6 IPS |