| Upload Date | November 12 2025 02:49 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% |
4824
897.2 IPS |
|
|
Image Classification (HP)
|
100% |
8850
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
10582
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19767
320.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12833
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35825
41.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
148368
173.7 IPS |
|
|
Object Detection (SP)
|
100% |
4936
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
5916
469.2 IPS |
|
|
Object Detection (Q)
|
88% |
10746
861.4 IPS |
|
|
Face Detection (SP)
|
100% |
17154
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
20345
241.7 IPS |
|
|
Face Detection (Q)
|
100% |
29458
350.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14672
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26963
207.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
38538
299.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42490
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
177536
228.2 IPS |
|
|
Style Transfer (Q)
|
98% |
318026
410.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7979
294.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21253
784.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21902
811.1 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2800
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4847
83.5 IPS |