| Upload Date | November 15 2025 03:57 AM |
| 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-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5122
952.6 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (Q)
|
99% |
11398
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19498
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25725
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16513
19.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
77273
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
5458
432.9 IPS |
|
|
Object Detection (HP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (Q)
|
86% |
12913
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
9028
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
15568
185.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19293
148.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4492
34.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
30336
242.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45775
58.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34917
44.9 IPS |
|
|
Style Transfer (Q)
|
98% |
46616
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4731
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2566
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1987
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3680
73.9 IPS |