| User | MrCrispr |
| Upload Date | August 30 2025 06:36 AM |
| Views | 13 |
| 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% |
7437
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7167
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
18581
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10175
164.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29477
477.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30932
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31047
36.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
127586
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
8825
700.0 IPS |
|
|
Object Detection (HP)
|
100% |
9523
755.4 IPS |
|
|
Object Detection (Q)
|
88% |
21164
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
19411
230.6 IPS |
|
|
Face Detection (HP)
|
100% |
19401
230.5 IPS |
|
|
Face Detection (Q)
|
100% |
55003
653.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24644
189.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24600
189.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
71662
557.7 IPS |
|
|
Style Transfer (SP)
|
100% |
82546
106.1 IPS |
|
|
Style Transfer (HP)
|
100% |
81382
104.6 IPS |
|
|
Style Transfer (Q)
|
98% |
294023
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15496
572.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15382
568.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39160
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.93 KIPS |
|
|
Text Classification (Q)
|
92% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
9056
156.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9113
157.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9546
164.4 IPS |