| User | MrCrispr |
| Upload Date | September 25 2024 05:43 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 16-Core Processor |
| 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% |
7578
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
7450
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
15492
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8872
143.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9052
146.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19509
316.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32930
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32888
38.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
130565
152.9 IPS |
|
|
Object Detection (SP)
|
100% |
8434
669.0 IPS |
|
|
Object Detection (HP)
|
100% |
8213
651.5 IPS |
|
|
Object Detection (Q)
|
88% |
18829
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
20714
246.1 IPS |
|
|
Face Detection (HP)
|
100% |
19116
227.1 IPS |
|
|
Face Detection (Q)
|
100% |
49414
587.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24260
186.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25540
196.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
66096
514.3 IPS |
|
|
Style Transfer (SP)
|
100% |
85361
109.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85026
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
298629
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15232
562.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14901
550.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40747
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
92% |
6120
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7200
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7430
128.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7292
125.6 IPS |