| User | MrCrispr |
| Upload Date | February 01 2026 03:14 PM |
| Views | 3 |
| 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% |
9055
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
9046
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
22509
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8924
144.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8931
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23851
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16951
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16980
19.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
68919
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
7412
587.9 IPS |
|
|
Object Detection (HP)
|
100% |
7353
583.2 IPS |
|
|
Object Detection (Q)
|
88% |
22927
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
14800
175.9 IPS |
|
|
Face Detection (HP)
|
100% |
14707
174.8 IPS |
|
|
Face Detection (Q)
|
100% |
56108
666.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17222
132.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17627
135.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61302
477.1 IPS |
|
|
Style Transfer (SP)
|
100% |
48795
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48265
62.0 IPS |
|
|
Style Transfer (Q)
|
98% |
180952
233.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10916
403.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11385
420.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34715
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7379
9.85 KIPS |
|
|
Text Classification (HP)
|
100% |
7374
9.84 KIPS |
|
|
Text Classification (Q)
|
92% |
9896
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
10352
178.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10007
172.4 IPS |
|
|
Machine Translation (Q)
|
100% |
15018
258.7 IPS |