| Upload Date | November 13 2025 08:35 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| 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 | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5054
939.9 IPS |
|
|
Image Classification (HP)
|
100% |
951
176.8 IPS |
|
|
Image Classification (Q)
|
99% |
13575
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18789
305.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17127
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12861
15.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
73297
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
5351
424.4 IPS |
|
|
Object Detection (HP)
|
100% |
1205
95.5 IPS |
|
|
Object Detection (Q)
|
86% |
14784
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
9897
117.6 IPS |
|
|
Face Detection (HP)
|
100% |
2495
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
15404
183.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16533
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4069
31.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28424
226.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33074
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29428
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
44896
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4379
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2776
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4213
84.7 IPS |