| User | MrCrispr |
| Upload Date | August 31 2025 01:26 AM |
| Views | 8 |
| 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% |
7447
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7810
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
19132
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9561
155.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10087
163.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30674
497.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31886
37.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31315
36.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
126315
147.9 IPS |
|
|
Object Detection (SP)
|
100% |
9162
726.7 IPS |
|
|
Object Detection (HP)
|
100% |
9027
716.0 IPS |
|
|
Object Detection (Q)
|
88% |
21182
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
20606
244.8 IPS |
|
|
Face Detection (HP)
|
100% |
19013
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
58604
696.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25007
192.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25219
194.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
70232
546.5 IPS |
|
|
Style Transfer (SP)
|
100% |
83138
106.9 IPS |
|
|
Style Transfer (HP)
|
100% |
81493
104.8 IPS |
|
|
Style Transfer (Q)
|
98% |
299808
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15402
568.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15161
559.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41307
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5298
7.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
92% |
6056
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
9100
156.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9247
159.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9875
170.1 IPS |