| User | yee245 |
| Upload Date | February 12 2026 07:31 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2104 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(R) Xeon(R) W-2104 CPU @ 3.20GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
1114
207.2 IPS |
|
|
Image Classification (Q)
|
100% |
1912
355.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2100
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2121
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
4226
4.96 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (Q)
|
87% |
1904
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
5359
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2919
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2930
22.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
4926
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5872
7.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5875
7.55 IPS |
|
|
Style Transfer (Q)
|
98% |
11369
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2512
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1181
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1825
31.4 IPS |