| User | MrCrispr |
| Upload Date | February 01 2026 06:53 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, 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% |
9402
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9192
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
22602
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9335
151.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9673
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25574
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17501
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17480
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
70000
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
8045
638.1 IPS |
|
|
Object Detection (HP)
|
100% |
7969
632.1 IPS |
|
|
Object Detection (Q)
|
88% |
23671
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
15956
189.6 IPS |
|
|
Face Detection (HP)
|
100% |
15559
184.9 IPS |
|
|
Face Detection (Q)
|
100% |
57605
684.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18691
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18514
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
64537
502.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49310
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49309
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
180468
232.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10923
403.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11605
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34616
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
7303
9.75 KIPS |
|
|
Text Classification (HP)
|
100% |
7241
9.67 KIPS |
|
|
Text Classification (Q)
|
92% |
9834
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
12031
207.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11375
195.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15039
259.1 IPS |