| User | MrDreek |
| Upload Date | March 19 2025 04:30 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4976
925.5 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
99% |
12698
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2750
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5205
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17615
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13146
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
66168
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
5090
403.8 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
14430
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
9991
118.7 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
15401
183.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15341
118.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3784
29.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
28818
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33675
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29932
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
47934
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3964
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3356
123.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6007
222.4 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5470
109.9 IPS |