| User | chienyuwu |
| Upload Date | June 14 2025 03:08 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E56 |
| Motherboard | Micro-Star International Co., Ltd. B850 GAMING PLUS WIFI (MS-7E56) |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5117
951.7 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
99% |
13342
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5428
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25554
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15165
17.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
80979
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
5796
459.7 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
86% |
14892
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
10861
129.0 IPS |
|
|
Face Detection (HP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
16027
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19876
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4329
33.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
34635
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48731
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35892
46.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55367
71.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3698
136.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6602
244.5 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2084
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5732
115.2 IPS |