| User | MrCrispr |
| Upload Date | September 17 2024 07:40 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2907
540.6 IPS |
|
|
Image Classification (HP)
|
100% |
866
161.0 IPS |
|
|
Image Classification (Q)
|
99% |
7339
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4336
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30757
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18585
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
88127
103.3 IPS |
|
|
Object Detection (SP)
|
100% |
3698
293.4 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
88% |
3746
300.3 IPS |
|
|
Face Detection (SP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
7887
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15014
115.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4355
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15434
123.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53896
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40080
51.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58591
75.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7282
269.6 IPS |
|
|
Text Classification (SP)
|
100% |
2585
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
650
870.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
60% |
4302
96.0 IPS |