| User | MrCrispr |
| Upload Date | February 01 2026 06:14 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, 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% |
6602
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6387
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
17092
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9211
149.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8513
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23942
388.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27511
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
27465
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
114126
133.6 IPS |
|
|
Object Detection (SP)
|
100% |
7895
626.2 IPS |
|
|
Object Detection (HP)
|
100% |
7660
607.6 IPS |
|
|
Object Detection (Q)
|
88% |
18839
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (HP)
|
100% |
16084
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
49714
590.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20912
161.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20137
155.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
61701
480.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72208
92.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71826
92.3 IPS |
|
|
Style Transfer (Q)
|
98% |
263085
339.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13689
505.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13790
509.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37613
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4538
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4389
5.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5532
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7852
135.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7740
133.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8341
143.7 IPS |