| User | MrCrispr |
| Upload Date | August 29 2025 03:59 AM |
| Views | 9 |
| 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% |
7540
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7284
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
18924
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9956
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9509
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26562
430.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
30483
35.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30653
35.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
125375
146.8 IPS |
|
|
Object Detection (SP)
|
100% |
8482
672.8 IPS |
|
|
Object Detection (HP)
|
100% |
8577
680.3 IPS |
|
|
Object Detection (Q)
|
88% |
21193
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
19264
228.9 IPS |
|
|
Face Detection (HP)
|
100% |
17375
206.4 IPS |
|
|
Face Detection (Q)
|
100% |
54146
643.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23251
179.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24695
190.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67457
524.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78727
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79607
102.3 IPS |
|
|
Style Transfer (Q)
|
98% |
290028
374.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15353
566.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15098
557.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39915
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5103
6.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5085
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
5845
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
8740
150.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8776
151.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9186
158.2 IPS |