| User | AndRusha |
| Upload Date | November 26 2025 07:30 PM |
| Views | 11 |
| 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, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5553
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
959
178.4 IPS |
|
|
Image Classification (Q)
|
99% |
13068
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20282
329.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20788
24.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14384
16.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
80503
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
5376
426.4 IPS |
|
|
Object Detection (HP)
|
100% |
1164
92.3 IPS |
|
|
Object Detection (Q)
|
86% |
15009
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
10524
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
15600
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17841
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4279
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
31898
254.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38844
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32051
41.2 IPS |
|
|
Style Transfer (Q)
|
98% |
53287
68.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2657
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1907
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4357
87.5 IPS |