| User | MrCrispr |
| Upload Date | February 01 2026 06:27 PM |
| 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 | High performance |
| 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% |
6503
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6374
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
16407
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9092
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8599
139.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23641
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27692
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
27429
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
115777
135.5 IPS |
|
|
Object Detection (SP)
|
100% |
7909
627.3 IPS |
|
|
Object Detection (HP)
|
100% |
7814
619.8 IPS |
|
|
Object Detection (Q)
|
88% |
19074
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
15134
179.8 IPS |
|
|
Face Detection (HP)
|
100% |
15756
187.2 IPS |
|
|
Face Detection (Q)
|
100% |
46245
549.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20052
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20762
160.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
63175
491.6 IPS |
|
|
Style Transfer (SP)
|
100% |
73998
95.1 IPS |
|
|
Style Transfer (HP)
|
100% |
73425
94.4 IPS |
|
|
Style Transfer (Q)
|
98% |
265257
342.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14055
519.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13881
512.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37380
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4494
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4411
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5565
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
8222
141.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7840
135.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8831
152.1 IPS |