| User | sipos |
| Upload Date | January 21 2025 01:19 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6241
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
962
178.9 IPS |
|
|
Image Classification (Q)
|
99% |
13631
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4971
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10524
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
45591
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5748
455.9 IPS |
|
|
Object Detection (HP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (Q)
|
86% |
13273
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9988
118.7 IPS |
|
|
Face Detection (HP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
13839
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15046
115.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3778
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
27231
217.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27121
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19982
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36869
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4431
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4100
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6401
237.0 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2642
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1112
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5194
104.4 IPS |