| Upload Date | November 12 2025 06:28 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
6459
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6508
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
16962
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8090
131.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8806
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24931
404.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27217
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24075
28.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
110890
129.8 IPS |
|
|
Object Detection (SP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (HP)
|
100% |
7518
596.3 IPS |
|
|
Object Detection (Q)
|
88% |
18725
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
17187
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
17550
208.5 IPS |
|
|
Face Detection (Q)
|
100% |
45376
539.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20689
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19967
153.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
54297
422.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64043
82.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73101
94.0 IPS |
|
|
Style Transfer (Q)
|
98% |
257714
332.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10000
369.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13900
513.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36161
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4539
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4537
6.06 KIPS |
|
|
Text Classification (Q)
|
92% |
5425
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7216
124.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7531
129.7 IPS |