| User | MrCrispr |
| Upload Date | February 01 2026 03:45 PM |
| Views | 6 |
| 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% |
9501
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9262
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
22868
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8857
143.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8794
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23729
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17241
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
70844
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
7552
599.1 IPS |
|
|
Object Detection (HP)
|
100% |
7885
625.4 IPS |
|
|
Object Detection (Q)
|
88% |
24129
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
14756
175.3 IPS |
|
|
Face Detection (HP)
|
100% |
14781
175.6 IPS |
|
|
Face Detection (Q)
|
100% |
56120
666.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17678
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17610
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
62257
484.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48619
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49607
63.8 IPS |
|
|
Style Transfer (Q)
|
98% |
189118
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11389
420.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11242
415.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34432
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7494
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7435
9.92 KIPS |
|
|
Text Classification (Q)
|
92% |
10120
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
10057
173.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9929
171.0 IPS |
|
|
Machine Translation (Q)
|
100% |
15004
258.4 IPS |