| User | yee245 |
| Upload Date | December 13 2025 09:23 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2133 CPU @ 3.60GHz |
| 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-2133 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3095
575.6 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.2 IPS |
|
|
Image Classification (Q)
|
100% |
4456
828.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5253
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7819
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7808
9.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
11809
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (Q)
|
87% |
4466
358.2 IPS |
|
|
Face Detection (SP)
|
100% |
7061
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
7169
85.2 IPS |
|
|
Face Detection (Q)
|
97% |
12615
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8914
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8897
68.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11797
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21706
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21744
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30389
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6481
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (Q)
|
91% |
1933
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3328
57.3 IPS |