| User | MrCrispr |
| Upload Date | February 02 2026 12:12 AM |
| Views | 5 |
| 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% |
9946
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
9877
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
23763
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9903
160.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10138
164.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27490
445.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18343
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18470
21.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
73080
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8420
667.9 IPS |
|
|
Object Detection (HP)
|
100% |
8567
679.5 IPS |
|
|
Object Detection (Q)
|
88% |
24942
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
17850
212.1 IPS |
|
|
Face Detection (HP)
|
100% |
18291
217.3 IPS |
|
|
Face Detection (Q)
|
100% |
62178
738.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21023
162.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20940
161.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
69006
537.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52068
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51827
66.6 IPS |
|
|
Style Transfer (Q)
|
98% |
195230
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12050
445.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12040
444.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35931
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7711
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7659
10.2 KIPS |
|
|
Text Classification (Q)
|
92% |
10371
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12895
222.1 IPS |
|
|
Machine Translation (HP)
|
100% |
12605
217.1 IPS |
|
|
Machine Translation (Q)
|
100% |
15765
271.6 IPS |