| User | yee245 |
| Upload Date | January 04 2025 07:18 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2140B CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS C422-ACE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3739
695.3 IPS |
|
|
Image Classification (HP)
|
100% |
3703
688.6 IPS |
|
|
Image Classification (Q)
|
100% |
4991
928.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5052
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9563
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9891
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
15317
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3726
295.6 IPS |
|
|
Object Detection (HP)
|
100% |
3730
295.9 IPS |
|
|
Object Detection (Q)
|
87% |
5266
422.4 IPS |
|
|
Face Detection (SP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
97% |
14616
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11030
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11345
87.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14488
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26967
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26946
34.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39047
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5351
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7803
289.0 IPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2746
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
2074
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3141
54.1 IPS |