| Upload Date | November 12 2025 02:43 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% |
3471
645.4 IPS |
|
|
Image Classification (HP)
|
100% |
6785
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9848
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4202
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13659
221.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9870
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
60847
71.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
107162
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (HP)
|
100% |
6171
489.5 IPS |
|
|
Object Detection (Q)
|
88% |
8717
698.8 IPS |
|
|
Face Detection (SP)
|
100% |
10094
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
13984
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
19477
231.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16095
124.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32914
253.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
38103
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42559
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
177774
228.5 IPS |
|
|
Style Transfer (Q)
|
98% |
310852
400.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7815
288.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20811
768.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23067
854.3 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2866
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4752
81.9 IPS |