| Upload Date | March 28 2026 09:10 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5450
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
958
178.1 IPS |
|
|
Image Classification (Q)
|
99% |
12979
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17885
290.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23164
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15596
18.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
71067
83.3 IPS |
|
|
Object Detection (SP)
|
100% |
5799
459.9 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (Q)
|
86% |
15058
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
9994
118.8 IPS |
|
|
Face Detection (HP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
15356
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16956
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4270
32.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
31541
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39154
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31848
40.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49563
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2642
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4358
87.6 IPS |