| User | StingerYar |
| Upload Date | January 17 2025 07:03 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4891
909.6 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.9 IPS |
|
|
Image Classification (Q)
|
99% |
12957
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5157
83.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14744
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
59328
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4954
393.0 IPS |
|
|
Object Detection (HP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (Q)
|
86% |
14822
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
10094
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
15226
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14418
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3890
30.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
29972
239.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30241
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24932
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
49953
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6637
245.7 IPS |
|
|
Text Classification (SP)
|
100% |
2503
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4902
98.5 IPS |