| User | MrCrispr |
| Upload Date | February 02 2026 12:08 AM |
| Views | 9 |
| 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% |
10004
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
9845
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
23591
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10309
167.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9982
161.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26925
436.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18351
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18340
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
73136
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8520
675.8 IPS |
|
|
Object Detection (HP)
|
100% |
8379
664.6 IPS |
|
|
Object Detection (Q)
|
88% |
24597
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
18158
215.8 IPS |
|
|
Face Detection (HP)
|
100% |
18191
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
60910
723.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20752
159.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20870
160.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
69955
544.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51983
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51118
65.7 IPS |
|
|
Style Transfer (Q)
|
98% |
193838
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11930
440.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12034
444.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36026
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7726
10.3 KIPS |
|
|
Text Classification (HP)
|
100% |
7722
10.3 KIPS |
|
|
Text Classification (Q)
|
92% |
10422
14.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
12737
219.4 IPS |
|
|
Machine Translation (HP)
|
100% |
12464
214.7 IPS |
|
|
Machine Translation (Q)
|
100% |
16138
278.0 IPS |