| User | MrCrispr |
| Upload Date | February 01 2026 04:52 PM |
| 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 | 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% |
9503
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9426
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22851
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8893
144.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8803
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23671
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17440
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17293
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
70817
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
7563
599.9 IPS |
|
|
Object Detection (HP)
|
100% |
7585
601.6 IPS |
|
|
Object Detection (Q)
|
88% |
23799
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
14965
177.8 IPS |
|
|
Face Detection (HP)
|
100% |
15499
184.2 IPS |
|
|
Face Detection (Q)
|
100% |
58518
695.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17358
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17363
133.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
61831
481.2 IPS |
|
|
Style Transfer (SP)
|
100% |
48778
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49034
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
185840
239.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11192
413.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11046
407.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35048
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
7456
9.95 KIPS |
|
|
Text Classification (HP)
|
100% |
7556
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
10141
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
10724
184.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10226
176.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15003
258.4 IPS |