| User | MrCrispr |
| Upload Date | September 25 2024 04:38 AM |
| Views | 21 |
| 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% |
7359
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7003
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
16381
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8715
141.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8966
145.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17452
282.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31289
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31480
36.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
130470
152.7 IPS |
|
|
Object Detection (SP)
|
100% |
8596
681.9 IPS |
|
|
Object Detection (HP)
|
100% |
8427
668.4 IPS |
|
|
Object Detection (Q)
|
88% |
18779
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
19667
233.7 IPS |
|
|
Face Detection (HP)
|
100% |
19187
228.0 IPS |
|
|
Face Detection (Q)
|
100% |
49365
586.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25537
196.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25626
197.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67662
526.5 IPS |
|
|
Style Transfer (SP)
|
100% |
84956
109.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85859
110.4 IPS |
|
|
Style Transfer (Q)
|
98% |
303316
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15367
567.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15329
566.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40288
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
92% |
6229
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7415
127.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7522
129.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6998
120.5 IPS |