| User | bmol |
| Upload Date | April 02 2025 01:44 AM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4794
891.5 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (Q)
|
99% |
13154
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5104
83.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12765
14.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
74681
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
5206
413.0 IPS |
|
|
Object Detection (HP)
|
100% |
1038
82.4 IPS |
|
|
Object Detection (Q)
|
86% |
15065
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
9970
118.5 IPS |
|
|
Face Detection (HP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
15714
187.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17076
131.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3743
28.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
32038
255.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35335
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30467
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
48157
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4218
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6104
226.0 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1968
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4916
98.8 IPS |