| User | sipos |
| Upload Date | January 22 2025 04:11 PM |
| Views | 13 |
| 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 | 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 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4840
900.2 IPS |
|
|
Image Classification (HP)
|
100% |
787
146.3 IPS |
|
|
Image Classification (Q)
|
99% |
12109
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4932
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16217
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11724
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
68192
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
4872
386.5 IPS |
|
|
Object Detection (HP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (Q)
|
86% |
13508
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
9554
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
13879
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14195
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3468
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26175
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31783
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27513
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44837
57.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3220
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5732
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2083
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4370
87.8 IPS |