| User | juanrevi |
| Upload Date | February 05 2026 02:26 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-E GAMING WIFI |
| Power Plan | Equilibrado |
| 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% |
7627
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7466
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
18561
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10052
163.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10105
163.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27458
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31418
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28421
33.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
106997
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
7232
573.7 IPS |
|
|
Object Detection (HP)
|
100% |
8876
704.1 IPS |
|
|
Object Detection (Q)
|
88% |
20793
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
19610
233.0 IPS |
|
|
Face Detection (HP)
|
100% |
18885
224.4 IPS |
|
|
Face Detection (Q)
|
100% |
54000
641.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23791
183.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24597
189.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
69978
544.6 IPS |
|
|
Style Transfer (SP)
|
100% |
82940
106.6 IPS |
|
|
Style Transfer (HP)
|
100% |
82130
105.6 IPS |
|
|
Style Transfer (Q)
|
98% |
296863
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15608
576.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15180
560.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40748
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4844
6.47 KIPS |
|
|
Text Classification (Q)
|
92% |
5850
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
8815
151.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8789
151.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9625
165.8 IPS |