| User | domdtxdissar |
| Upload Date | December 17 2024 08:18 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| 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% |
7514
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
6866
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
16146
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8800
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8778
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19267
312.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31499
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31610
36.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
124177
145.4 IPS |
|
|
Object Detection (SP)
|
100% |
8310
659.2 IPS |
|
|
Object Detection (HP)
|
100% |
8433
668.9 IPS |
|
|
Object Detection (Q)
|
88% |
18701
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
18771
223.0 IPS |
|
|
Face Detection (HP)
|
100% |
18611
221.1 IPS |
|
|
Face Detection (Q)
|
100% |
49720
590.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25996
200.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26146
201.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
61869
481.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82637
106.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82261
105.7 IPS |
|
|
Style Transfer (Q)
|
98% |
285944
368.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15513
572.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15247
563.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39140
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
5065
6.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5011
6.69 KIPS |
|
|
Text Classification (Q)
|
92% |
5978
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
7476
128.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7256
125.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6975
120.1 IPS |