| User | MrCrispr |
| Upload Date | August 31 2025 01:46 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% |
6883
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7207
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
19116
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10208
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10231
165.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28210
457.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31251
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31665
36.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
128368
150.3 IPS |
|
|
Object Detection (SP)
|
100% |
8766
695.3 IPS |
|
|
Object Detection (HP)
|
100% |
8825
700.0 IPS |
|
|
Object Detection (Q)
|
88% |
21754
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
18262
217.0 IPS |
|
|
Face Detection (HP)
|
100% |
18397
218.6 IPS |
|
|
Face Detection (Q)
|
100% |
52478
623.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24911
191.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23554
181.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
71210
554.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81731
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
81924
105.3 IPS |
|
|
Style Transfer (Q)
|
98% |
293251
378.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15289
564.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15285
564.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40043
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5413
7.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
8920
153.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9002
155.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9525
164.1 IPS |