| User | domdtxdissar |
| Upload Date | December 15 2024 03:50 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| 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% |
7762
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7576
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
16376
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9185
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10116
164.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19521
316.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33710
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33776
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
134696
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
8763
695.1 IPS |
|
|
Object Detection (HP)
|
100% |
8880
704.4 IPS |
|
|
Object Detection (Q)
|
88% |
19152
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
18606
221.1 IPS |
|
|
Face Detection (HP)
|
100% |
19403
230.6 IPS |
|
|
Face Detection (Q)
|
100% |
50201
596.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24764
190.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26588
204.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67105
522.1 IPS |
|
|
Style Transfer (SP)
|
100% |
87104
112.0 IPS |
|
|
Style Transfer (HP)
|
100% |
89264
114.7 IPS |
|
|
Style Transfer (Q)
|
98% |
311679
401.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15257
563.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15535
573.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40045
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5283
7.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6300
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
7673
132.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7535
129.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7064
121.7 IPS |