| User | MrCrispr |
| Upload Date | February 01 2026 03:07 PM |
| Views | 5 |
| 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% |
9431
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9069
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
22381
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8966
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8918
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23993
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16979
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
69833
81.8 IPS |
|
|
Object Detection (SP)
|
100% |
7651
606.9 IPS |
|
|
Object Detection (HP)
|
100% |
7700
610.8 IPS |
|
|
Object Detection (Q)
|
88% |
23591
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
15055
178.9 IPS |
|
|
Face Detection (HP)
|
100% |
14508
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
55400
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17487
134.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17368
133.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61723
480.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47579
61.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49403
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
186365
240.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11062
408.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10749
396.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34552
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7341
9.80 KIPS |
|
|
Text Classification (HP)
|
100% |
7264
9.70 KIPS |
|
|
Text Classification (Q)
|
92% |
9842
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
9990
172.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9902
170.6 IPS |
|
|
Machine Translation (Q)
|
100% |
14302
246.4 IPS |