| User | MrCrispr |
| Upload Date | August 29 2025 04:28 AM |
| 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 | 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% |
7159
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7158
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
18408
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10642
172.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9435
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27791
450.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31126
36.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31069
36.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
125440
146.9 IPS |
|
|
Object Detection (SP)
|
100% |
8613
683.2 IPS |
|
|
Object Detection (HP)
|
100% |
8627
684.3 IPS |
|
|
Object Detection (Q)
|
88% |
20715
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
19184
228.0 IPS |
|
|
Face Detection (HP)
|
100% |
19065
226.5 IPS |
|
|
Face Detection (Q)
|
100% |
53237
632.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23854
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24796
191.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
70185
546.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81794
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
80626
103.6 IPS |
|
|
Style Transfer (Q)
|
98% |
293504
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14902
550.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15707
580.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39292
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5271
7.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6065
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
8869
152.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8713
150.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9298
160.2 IPS |