| 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% |
3175
590.5 IPS |
|
|
Image Classification (HP)
|
100% |
6643
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
8176
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4154
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12857
208.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7914
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
58198
67.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
105262
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
3102
246.0 IPS |
|
|
Object Detection (HP)
|
100% |
5948
471.8 IPS |
|
|
Object Detection (Q)
|
88% |
8292
664.7 IPS |
|
|
Face Detection (SP)
|
100% |
9876
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
14835
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
19355
230.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9378
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33430
257.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
37892
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41226
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171159
220.0 IPS |
|
|
Style Transfer (Q)
|
98% |
304444
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7662
282.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20618
761.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22302
825.9 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2756
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4695
80.9 IPS |