| User | MrCrispr |
| Upload Date | February 01 2026 08:02 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9569
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9566
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
22984
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9532
154.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9586
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24894
403.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18056
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17799
20.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
71927
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
8082
641.1 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
88% |
24162
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
15404
183.0 IPS |
|
|
Face Detection (HP)
|
100% |
14856
176.5 IPS |
|
|
Face Detection (Q)
|
100% |
59302
704.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19486
150.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19479
150.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67198
522.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50789
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49865
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
186126
240.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11830
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11750
433.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35259
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
7550
10.1 KIPS |
|
|
Text Classification (HP)
|
100% |
7593
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10109
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
11918
205.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11666
200.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15000
258.4 IPS |