| Upload Date | November 12 2025 03:23 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% |
4703
874.7 IPS |
|
|
Image Classification (HP)
|
100% |
9061
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10750
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5645
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19794
320.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10458
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
83595
97.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
66317
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
4961
393.5 IPS |
|
|
Object Detection (HP)
|
100% |
8197
650.2 IPS |
|
|
Object Detection (Q)
|
88% |
10860
870.5 IPS |
|
|
Face Detection (SP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (HP)
|
100% |
20073
238.5 IPS |
|
|
Face Detection (Q)
|
100% |
24082
286.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16157
124.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33346
256.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
38516
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42678
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
139851
179.8 IPS |
|
|
Style Transfer (Q)
|
98% |
313114
403.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20836
769.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23609
874.3 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
2733
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4835
83.3 IPS |