| 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% |
3128
581.7 IPS |
|
|
Image Classification (HP)
|
100% |
6580
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
7938
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4156
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13608
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8581
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
55293
64.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
105547
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.2 IPS |
|
|
Object Detection (HP)
|
100% |
6246
495.4 IPS |
|
|
Object Detection (Q)
|
88% |
8144
652.8 IPS |
|
|
Face Detection (SP)
|
100% |
9763
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
16277
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
20624
245.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9014
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22770
175.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26938
209.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26141
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
88234
113.4 IPS |
|
|
Style Transfer (Q)
|
98% |
314994
406.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7599
280.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20201
745.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22973
850.8 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2789
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4065
70.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4486
77.3 IPS |