| User | MrCrispr |
| Upload Date | August 31 2025 02:44 AM |
| Views | 7 |
| 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% |
7842
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
19239
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11185
181.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10267
166.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28015
454.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31482
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31745
37.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
132112
154.7 IPS |
|
|
Object Detection (SP)
|
100% |
8924
707.9 IPS |
|
|
Object Detection (HP)
|
100% |
8910
706.8 IPS |
|
|
Object Detection (Q)
|
88% |
21549
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
18524
220.1 IPS |
|
|
Face Detection (HP)
|
100% |
18701
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
59712
709.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24641
189.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25082
193.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
69176
538.3 IPS |
|
|
Style Transfer (SP)
|
100% |
83029
106.7 IPS |
|
|
Style Transfer (HP)
|
100% |
82378
105.9 IPS |
|
|
Style Transfer (Q)
|
98% |
300708
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15604
576.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15782
582.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42658
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5121
6.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
92% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
8682
149.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9034
155.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9404
162.0 IPS |