| User | Maditgeek |
| Upload Date | February 09 2025 02:00 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4488
834.7 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (Q)
|
99% |
13168
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5029
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12560
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8688
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
46042
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
7727
612.9 IPS |
|
|
Object Detection (HP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (Q)
|
86% |
14236
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
19039
226.2 IPS |
|
|
Face Detection (HP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
15132
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21131
162.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4049
31.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
32011
255.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35304
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25406
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41798
53.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6482
240.0 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2579
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5443
109.4 IPS |