| User | AndRusha |
| Upload Date | September 30 2025 07:00 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8137
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
1177
218.8 IPS |
|
|
Image Classification (Q)
|
99% |
14512
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2593
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17537
285.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13824
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10329
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47203
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
7270
576.6 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (Q)
|
86% |
14868
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
16785
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (Q)
|
97% |
15112
180.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18992
146.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4060
31.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
32626
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30590
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22578
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39320
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4277
157.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6330
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2524
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5671
113.9 IPS |