| User | MrCrispr |
| Upload Date | August 29 2025 04:04 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 | 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% |
7423
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7286
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
19512
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10065
163.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10698
173.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28257
458.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30249
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30747
35.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
124222
145.4 IPS |
|
|
Object Detection (SP)
|
100% |
8611
683.1 IPS |
|
|
Object Detection (HP)
|
100% |
9341
740.9 IPS |
|
|
Object Detection (Q)
|
88% |
20582
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
17310
205.7 IPS |
|
|
Face Detection (HP)
|
100% |
18192
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
51763
615.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23093
177.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24818
191.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
66808
519.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78411
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
81413
104.7 IPS |
|
|
Style Transfer (Q)
|
98% |
291211
375.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15253
563.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14965
552.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39521
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
8816
151.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8724
150.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9544
164.4 IPS |