| User | MrCrispr |
| Upload Date | September 25 2024 07:23 AM |
| Views | 13 |
| 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% |
7622
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7165
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
16102
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8961
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8589
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18329
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32896
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33044
38.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
130989
153.4 IPS |
|
|
Object Detection (SP)
|
100% |
8287
657.3 IPS |
|
|
Object Detection (HP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (Q)
|
88% |
18624
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
18430
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
17854
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
50012
594.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24701
190.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24951
192.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
66558
517.9 IPS |
|
|
Style Transfer (SP)
|
100% |
85298
109.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85375
109.8 IPS |
|
|
Style Transfer (Q)
|
98% |
300308
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15219
562.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15701
579.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39587
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5254
7.01 KIPS |
|
|
Text Classification (Q)
|
92% |
6201
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
8097
139.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7952
137.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7761
133.7 IPS |