| User | sneakyness |
| Upload Date | August 15 2024 07:51 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
97% |
3315
618.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
2028
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4774
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4075
4.75 IPS |
|
|
Pose Estimation (Q)
|
87% |
11126
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
86% |
1906
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (Q)
|
96% |
4908
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6904
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
939
7.23 IPS |
|
|
Depth Estimation (Q)
|
76% |
6742
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12465
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9940
12.8 IPS |
|
|
Style Transfer (Q)
|
87% |
16942
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3162
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
680
907.8 IPS |
|
|
Text Classification (Q)
|
97% |
386
517.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2097
46.8 IPS |