| 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% |
3092
575.0 IPS |
|
|
Image Classification (HP)
|
100% |
6523
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8695
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4168
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18560
300.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8620
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
53828
62.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
96404
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
3152
250.0 IPS |
|
|
Object Detection (HP)
|
100% |
7263
576.1 IPS |
|
|
Object Detection (Q)
|
88% |
8432
675.9 IPS |
|
|
Face Detection (SP)
|
100% |
9761
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
14950
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
20716
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6818
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23054
177.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
28626
222.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25511
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
111970
143.9 IPS |
|
|
Style Transfer (Q)
|
98% |
320309
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7427
274.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20220
746.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22399
829.5 IPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2837
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4595
79.2 IPS |