| User | MrCrispr |
| Upload Date | August 29 2025 02:38 AM |
| Views | 12 |
| 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% |
7128
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7001
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
18642
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10267
166.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10022
162.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27819
451.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
31010
36.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30997
36.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
126178
147.7 IPS |
|
|
Object Detection (SP)
|
100% |
8496
673.9 IPS |
|
|
Object Detection (HP)
|
100% |
8691
689.4 IPS |
|
|
Object Detection (Q)
|
88% |
20551
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
18010
214.0 IPS |
|
|
Face Detection (HP)
|
100% |
18158
215.8 IPS |
|
|
Face Detection (Q)
|
100% |
54414
646.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23844
183.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23333
179.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
68508
533.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80451
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
80204
103.1 IPS |
|
|
Style Transfer (Q)
|
98% |
289312
373.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14837
547.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14916
550.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39907
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5070
6.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4926
6.57 KIPS |
|
|
Text Classification (Q)
|
92% |
5828
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
8832
152.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8840
152.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9433
162.5 IPS |