| User | MrCrispr |
| Upload Date | August 29 2025 01:49 AM |
| Views | 22 |
| 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% |
6897
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17969
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9093
147.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9329
151.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25807
418.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28050
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28214
32.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
110569
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
7825
620.6 IPS |
|
|
Object Detection (HP)
|
100% |
7587
601.8 IPS |
|
|
Object Detection (Q)
|
88% |
19731
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
16790
199.5 IPS |
|
|
Face Detection (HP)
|
100% |
17115
203.4 IPS |
|
|
Face Detection (Q)
|
100% |
49594
589.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22181
170.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22445
172.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
63188
491.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74685
96.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75171
96.6 IPS |
|
|
Style Transfer (Q)
|
98% |
267356
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13944
514.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14258
526.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37074
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4852
6.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5773
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
8229
141.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8285
142.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9592
165.2 IPS |