| User | MrCrispr |
| Upload Date | January 28 2026 05:39 PM |
| Views | 10 |
| 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, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6983
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7018
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
17772
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9536
154.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27009
437.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29090
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29289
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
120341
140.9 IPS |
|
|
Object Detection (SP)
|
100% |
9171
727.5 IPS |
|
|
Object Detection (HP)
|
100% |
8430
668.7 IPS |
|
|
Object Detection (Q)
|
88% |
20040
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
18108
215.2 IPS |
|
|
Face Detection (HP)
|
100% |
17320
205.8 IPS |
|
|
Face Detection (Q)
|
100% |
50369
598.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22686
174.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22590
174.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
65161
507.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77062
99.1 IPS |
|
|
Style Transfer (HP)
|
100% |
78251
100.6 IPS |
|
|
Style Transfer (Q)
|
98% |
276643
356.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14335
529.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14598
539.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39153
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4688
6.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5932
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
8676
149.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8565
147.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8454
145.6 IPS |