| User | MrCrispr |
| Upload Date | February 01 2026 03:25 PM |
| Views | 4 |
| 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% |
9401
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
8997
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
22393
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8936
144.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8781
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23668
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16956
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17149
20.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
70630
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
7785
617.5 IPS |
|
|
Object Detection (HP)
|
100% |
7655
607.2 IPS |
|
|
Object Detection (Q)
|
88% |
23423
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
14460
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
14731
175.0 IPS |
|
|
Face Detection (Q)
|
100% |
55676
661.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17785
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17314
133.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
59095
459.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47379
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49017
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
183481
236.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10936
403.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11143
411.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33808
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
7234
9.66 KIPS |
|
|
Text Classification (HP)
|
100% |
7265
9.70 KIPS |
|
|
Text Classification (Q)
|
92% |
9701
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10340
178.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9886
170.3 IPS |
|
|
Machine Translation (Q)
|
100% |
13684
235.7 IPS |