| User | MrCrispr |
| Upload Date | August 29 2025 04:19 AM |
| 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 | Balanced |
| 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% |
7003
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7299
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
18203
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10814
175.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10185
165.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26716
433.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30749
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30807
35.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
126394
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
8442
669.6 IPS |
|
|
Object Detection (HP)
|
100% |
8660
686.9 IPS |
|
|
Object Detection (Q)
|
88% |
20792
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
18942
225.1 IPS |
|
|
Face Detection (HP)
|
100% |
18801
223.4 IPS |
|
|
Face Detection (Q)
|
100% |
51788
615.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23927
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24217
186.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
66341
516.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81288
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
80442
103.4 IPS |
|
|
Style Transfer (Q)
|
98% |
283466
365.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14892
549.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14700
542.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39599
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
4929
6.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6443
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
8943
154.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8811
151.8 IPS |
|
|
Machine Translation (Q)
|
100% |
9280
159.9 IPS |