| User | mrmescu |
| Upload Date | April 21 2026 04:44 PM |
| Views | 6 |
| 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, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7710
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (Q)
|
99% |
14145
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16860
274.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15198
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11829
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
52527
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
7416
588.3 IPS |
|
|
Object Detection (HP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (Q)
|
86% |
13856
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
16004
190.2 IPS |
|
|
Face Detection (HP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
15469
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20118
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4421
34.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
33831
270.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34960
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25432
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
39860
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5905
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6829
252.9 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2566
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5430
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5577
112.1 IPS |