| User | MrCrispr |
| Upload Date | October 23 2025 11:14 AM |
| Views | 2 |
| 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% |
7546
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7657
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19333
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10039
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27658
448.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
31831
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31600
36.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
126454
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
8552
678.3 IPS |
|
|
Object Detection (HP)
|
100% |
8703
690.3 IPS |
|
|
Object Detection (Q)
|
88% |
21372
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
19670
233.7 IPS |
|
|
Face Detection (HP)
|
100% |
19523
232.0 IPS |
|
|
Face Detection (Q)
|
100% |
56801
674.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23832
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24738
190.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
72058
560.8 IPS |
|
|
Style Transfer (SP)
|
100% |
83099
106.8 IPS |
|
|
Style Transfer (HP)
|
100% |
83186
106.9 IPS |
|
|
Style Transfer (Q)
|
98% |
297098
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15662
578.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15191
560.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40338
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5142
6.86 KIPS |
|
|
Text Classification (Q)
|
92% |
6085
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
9169
157.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8798
151.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9552
164.5 IPS |