| User | MrCrispr |
| Upload Date | February 01 2026 03:51 PM |
| Views | 13 |
| 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% |
9336
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9365
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
22763
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9012
146.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8788
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23516
381.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17268
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17540
20.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
71080
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
7619
604.4 IPS |
|
|
Object Detection (HP)
|
100% |
7586
601.7 IPS |
|
|
Object Detection (Q)
|
88% |
23322
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
14946
177.6 IPS |
|
|
Face Detection (HP)
|
100% |
14474
172.0 IPS |
|
|
Face Detection (Q)
|
100% |
56650
673.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17561
135.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17774
136.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
60872
473.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49765
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50055
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
185098
238.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11367
419.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11924
440.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34821
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7502
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7371
9.84 KIPS |
|
|
Text Classification (Q)
|
92% |
10158
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
9938
171.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10147
174.8 IPS |
|
|
Machine Translation (Q)
|
100% |
14521
250.1 IPS |