| Upload Date | November 12 2025 03:23 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6730P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6730P |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | DRAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4823
896.9 IPS |
|
|
Image Classification (HP)
|
100% |
9110
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10497
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7411
120.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3255
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19787
320.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13605
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
61689
72.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
115007
134.7 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
8237
653.3 IPS |
|
|
Object Detection (Q)
|
88% |
8601
689.4 IPS |
|
|
Face Detection (SP)
|
100% |
17050
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
19994
237.6 IPS |
|
|
Face Detection (Q)
|
100% |
29276
347.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15906
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32980
254.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
38161
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39766
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
144322
185.5 IPS |
|
|
Style Transfer (Q)
|
98% |
241183
311.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7971
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21112
779.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19000
703.6 IPS |
|
|
Text Classification (SP)
|
100% |
2823
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2852
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4644
80.0 IPS |