| User | MrCrispr |
| Upload Date | August 31 2025 02:38 AM |
| Views | 10 |
| 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 | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7594
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7244
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
19609
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10518
170.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9898
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27737
449.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32968
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32328
37.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
128710
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8738
693.1 IPS |
|
|
Object Detection (HP)
|
100% |
9104
722.1 IPS |
|
|
Object Detection (Q)
|
88% |
21571
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
18763
222.9 IPS |
|
|
Face Detection (HP)
|
100% |
20185
239.8 IPS |
|
|
Face Detection (Q)
|
100% |
54548
648.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26338
202.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24669
190.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
73255
570.1 IPS |
|
|
Style Transfer (SP)
|
100% |
83254
107.0 IPS |
|
|
Style Transfer (HP)
|
100% |
81824
105.2 IPS |
|
|
Style Transfer (Q)
|
98% |
300858
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15579
575.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15341
566.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40725
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5486
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
9323
160.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8756
150.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9394
161.8 IPS |