| User | MrCrispr |
| Upload Date | August 31 2025 02:31 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% |
7466
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7144
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
19666
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9982
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10276
166.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27062
438.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32189
37.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31898
37.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
128453
150.4 IPS |
|
|
Object Detection (SP)
|
100% |
8544
677.7 IPS |
|
|
Object Detection (HP)
|
100% |
9159
726.5 IPS |
|
|
Object Detection (Q)
|
88% |
21256
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
20064
238.4 IPS |
|
|
Face Detection (HP)
|
100% |
19038
226.2 IPS |
|
|
Face Detection (Q)
|
100% |
60571
719.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24907
191.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24864
191.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
70500
548.6 IPS |
|
|
Style Transfer (SP)
|
100% |
83712
107.6 IPS |
|
|
Style Transfer (HP)
|
100% |
83509
107.4 IPS |
|
|
Style Transfer (Q)
|
98% |
300189
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15382
568.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15743
581.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41040
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
9061
156.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9218
158.8 IPS |
|
|
Machine Translation (Q)
|
100% |
10218
176.0 IPS |