| User | MrCrispr |
| Upload Date | February 02 2026 01:12 AM |
| 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% |
9883
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9794
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
23819
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10436
169.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10439
169.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27685
448.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18246
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18306
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
72732
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
8482
672.8 IPS |
|
|
Object Detection (HP)
|
100% |
8314
659.5 IPS |
|
|
Object Detection (Q)
|
88% |
24889
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
18639
221.5 IPS |
|
|
Face Detection (HP)
|
100% |
18172
215.9 IPS |
|
|
Face Detection (Q)
|
100% |
62237
739.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20865
160.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21208
163.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
69583
541.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52590
67.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51606
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
192640
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11986
442.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12217
451.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35904
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7754
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7706
10.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10282
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12498
215.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12456
214.6 IPS |
|
|
Machine Translation (Q)
|
100% |
15741
271.1 IPS |