| User | MrCrispr |
| Upload Date | September 30 2024 03:52 AM |
| Views | 18 |
| 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% |
7832
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7203
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
16059
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8556
138.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9394
152.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17908
290.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32582
38.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32761
38.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
128714
150.7 IPS |
|
|
Object Detection (SP)
|
100% |
8524
676.1 IPS |
|
|
Object Detection (HP)
|
100% |
8316
659.6 IPS |
|
|
Object Detection (Q)
|
88% |
18471
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
18414
218.8 IPS |
|
|
Face Detection (HP)
|
100% |
18833
223.8 IPS |
|
|
Face Detection (Q)
|
100% |
47304
562.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25231
194.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24609
189.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
67592
525.9 IPS |
|
|
Style Transfer (SP)
|
100% |
86247
110.9 IPS |
|
|
Style Transfer (HP)
|
100% |
84517
108.6 IPS |
|
|
Style Transfer (Q)
|
98% |
298552
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15254
563.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14967
552.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39826
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5240
6.99 KIPS |
|
|
Text Classification (Q)
|
92% |
5996
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
7198
124.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7274
125.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6929
119.4 IPS |