| Upload Date | November 12 2025 03:44 AM |
| Views | 4 |
| 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% |
4845
901.1 IPS |
|
|
Image Classification (HP)
|
100% |
8983
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
10110
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5590
90.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15663
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14019
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
41502
48.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
104093
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
4001
317.3 IPS |
|
|
Object Detection (HP)
|
100% |
8154
646.7 IPS |
|
|
Object Detection (Q)
|
88% |
9196
737.2 IPS |
|
|
Face Detection (SP)
|
100% |
17333
205.9 IPS |
|
|
Face Detection (HP)
|
100% |
20043
238.1 IPS |
|
|
Face Detection (Q)
|
100% |
30040
356.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15920
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31205
240.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
31917
248.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40163
51.6 IPS |
|
|
Style Transfer (HP)
|
100% |
177262
227.9 IPS |
|
|
Style Transfer (Q)
|
98% |
313451
404.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7958
293.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21192
782.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23260
861.4 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2810
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4977
85.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4851
83.6 IPS |